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Most recent job postings at TensorFlow
via ZipRecruiter
posted_at: 5 days agoschedule_type: Full-time
TS/SCI - Polygraph required
02-287-SWE
...
Description:
The Software Engineer shall be responsible for designing, developing, and sustaining pipelines that enable machine-learning model training as well as large scale inference in a Kubernetes-based environment. Tasking shall include the following:
• Development of data-aware model training pipelines to facilitate unique customer requirements surrounding model provenance
• Development of scalable,
TS/SCI - Polygraph required
02-287-SWE
...
Description:
The Software Engineer shall be responsible for designing, developing, and sustaining pipelines that enable machine-learning model training as well as large scale inference in a Kubernetes-based environment. Tasking shall include the following:
• Development of data-aware model training pipelines to facilitate unique customer requirements surrounding model provenance
• Development of scalable, Kubernetes-based inference pipelines that compliantly handle in-flight data
• Configuring and maintaining custom metrics to enable tuning of running pipelines
The Software Engineer designs, develops tests, deploys documents, maintains, and enhances complex and diverse software systems based upon documented requirements. These systems might include, but are not limited to, processing intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, business management information systems, and systems which incorporate data repositories, data transport services, and application and systems development and monitoring. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Open Source Software (OSS) and/or Commercial OffThe-Shelf (COTS) Government Off-The-Shelf (GOTS) software in place of new development, and requirements analysis and synthesis from system level to individual software components. Experience developing in Unix. Ability to perform shell scripting. Working knowledge of Configuration Management (CM) tools and Web Services implementation.
The Level 2 Software Engineer (SWE) shall possess the following capabilities:
• Analyze user requirements to derive software design and performance requirements.
• Debug existing software and correct defects.
• Design and code new software or modify existing software to add new features.
• Write or review software and system documentation.
• Integrate existing software into new or modified systems or operating environments.
• Develop simple data queries for existing or proposed databases or data repositories.
• Software development using languages such as C, C++, Python, Ruby, Perl, JavaScript, etc.
• Has experience with agile development processes.
• Has experience with source code control systems, such as Git.
• Serve as team lead at the level appropriate to the software development process being used on any particular project.
• Design and development of relational and non-relational database applications.
• Use of orchestration frameworks such as Spring and Kafka.
• Familiarization with queue management systems
• Develop or implement algorithms to meet or exceed system performance and functional standards.
• Develop and execute test procedures for software components.
• Develop software solutions by analyzing system perfonnance standards and conferring with users or system engineers; analyzing systems flow, data usage and work processes; and investigating problem areas.
• Modify existing software to adapt to new hardware or to improve its performance
• Design, develop, and modify software systems using scientific analysis and mathematical models to predict and measure outcomes and consequences of design decisions
• Java development using the Eclipse IDE (Integrated Development Environment).
• Development of Java 2 Enterprise Edition (J2EE) applications
• Experience using collaboration and software development tools (ie. Atlassian).
• Software development using continuous integration practices
• Experience with container technologies (ie. Docker).
• Unix shell scripting
• Development of event driven or data driven analytics
• Development of cloud-based solutions and technologies.
• Design or implement complex algorithms requiring adherence to strict timing, system resource, or interface constraints. Perform quality control on team products.
• Recommend and implement suggestions for improving documentation and software development process standards.
• Oversee one or more software development teams and ensure the work is completed in accordance with the constraints of the software development process being used on any particular project.
• Confer with system engineers and hardware engineers to derive software requirements and to obtain information on project limitations and capabilities, performance requirements, and interfaces.
• Coordinate software installation on a system and monitor performance to ensure operational specifications are met.
Position Required Skills
• Experience using the Linux CLI
• Experience developing with Python
• Experience using a machine-learning framework (PyTorch, TensorFlow, etc)
• Experience developing and deploying containerized applications
Position Desired Skills
• Experience developing with Go
• Experience writing and deploying Kubernetes resources
• Experience writing and deploying Helm charts
• Experience working with, and debugging, GPU-enabled applications
• Experience with other ML pipelines/frameworks like KubeFlow, NeMo, PyTorch Lightning, etc.
• Experience with metrics and monitoring tools such as Prometheus and Grafana
• Experience with the Atlassian suite of tools
SWE-2 Qualifications:
Master's degree in Computer Science or related discipline from an accredited college or university, plus three (3) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
OR
Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity
OR
Seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.
www.akina-inc.com/careers Show more details...
02-287-SWE
...
Description:
The Software Engineer shall be responsible for designing, developing, and sustaining pipelines that enable machine-learning model training as well as large scale inference in a Kubernetes-based environment. Tasking shall include the following:
• Development of data-aware model training pipelines to facilitate unique customer requirements surrounding model provenance
• Development of scalable, Kubernetes-based inference pipelines that compliantly handle in-flight data
• Configuring and maintaining custom metrics to enable tuning of running pipelines
The Software Engineer designs, develops tests, deploys documents, maintains, and enhances complex and diverse software systems based upon documented requirements. These systems might include, but are not limited to, processing intensive analytics, novel algorithm development, manipulation of extremely large data sets, real-time systems, business management information systems, and systems which incorporate data repositories, data transport services, and application and systems development and monitoring. Works individually or as part of a team. Reviews and tests software components for adherence to the design requirements and documents test results. Resolves software problem reports. Utilizes software development and software design methodologies appropriate to the development environment. Provides specific input to the software components of system design to include hardware/software trade-offs, software reuse, use of Open Source Software (OSS) and/or Commercial OffThe-Shelf (COTS) Government Off-The-Shelf (GOTS) software in place of new development, and requirements analysis and synthesis from system level to individual software components. Experience developing in Unix. Ability to perform shell scripting. Working knowledge of Configuration Management (CM) tools and Web Services implementation.
The Level 2 Software Engineer (SWE) shall possess the following capabilities:
• Analyze user requirements to derive software design and performance requirements.
• Debug existing software and correct defects.
• Design and code new software or modify existing software to add new features.
• Write or review software and system documentation.
• Integrate existing software into new or modified systems or operating environments.
• Develop simple data queries for existing or proposed databases or data repositories.
• Software development using languages such as C, C++, Python, Ruby, Perl, JavaScript, etc.
• Has experience with agile development processes.
• Has experience with source code control systems, such as Git.
• Serve as team lead at the level appropriate to the software development process being used on any particular project.
• Design and development of relational and non-relational database applications.
• Use of orchestration frameworks such as Spring and Kafka.
• Familiarization with queue management systems
• Develop or implement algorithms to meet or exceed system performance and functional standards.
• Develop and execute test procedures for software components.
• Develop software solutions by analyzing system perfonnance standards and conferring with users or system engineers; analyzing systems flow, data usage and work processes; and investigating problem areas.
• Modify existing software to adapt to new hardware or to improve its performance
• Design, develop, and modify software systems using scientific analysis and mathematical models to predict and measure outcomes and consequences of design decisions
• Java development using the Eclipse IDE (Integrated Development Environment).
• Development of Java 2 Enterprise Edition (J2EE) applications
• Experience using collaboration and software development tools (ie. Atlassian).
• Software development using continuous integration practices
• Experience with container technologies (ie. Docker).
• Unix shell scripting
• Development of event driven or data driven analytics
• Development of cloud-based solutions and technologies.
• Design or implement complex algorithms requiring adherence to strict timing, system resource, or interface constraints. Perform quality control on team products.
• Recommend and implement suggestions for improving documentation and software development process standards.
• Oversee one or more software development teams and ensure the work is completed in accordance with the constraints of the software development process being used on any particular project.
• Confer with system engineers and hardware engineers to derive software requirements and to obtain information on project limitations and capabilities, performance requirements, and interfaces.
• Coordinate software installation on a system and monitor performance to ensure operational specifications are met.
Position Required Skills
• Experience using the Linux CLI
• Experience developing with Python
• Experience using a machine-learning framework (PyTorch, TensorFlow, etc)
• Experience developing and deploying containerized applications
Position Desired Skills
• Experience developing with Go
• Experience writing and deploying Kubernetes resources
• Experience writing and deploying Helm charts
• Experience working with, and debugging, GPU-enabled applications
• Experience with other ML pipelines/frameworks like KubeFlow, NeMo, PyTorch Lightning, etc.
• Experience with metrics and monitoring tools such as Prometheus and Grafana
• Experience with the Atlassian suite of tools
SWE-2 Qualifications:
Master's degree in Computer Science or related discipline from an accredited college or university, plus three (3) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
OR
Bachelor's degree in Computer Science or related discipline from an accredited college or university, plus five (5) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity
OR
Seven (7) years of experience as a SWE, in programs and contracts of similar scope, type, and complexity.
Akina is a Woman Owned, Service Disabled, Veteran Owned, Small Business, looking for talented and ambitious individuals to join our team. We offer a generous compensation package that includes 24 days PTO accrued annually and 11 federal holidays. Our 401k is 100% vested on your start date and the company makes a direct contribution worth 10% of your salary. Akina covers 100% of healthcare costs for employees and 50% toward dependents. We offer educational assistance towards college classes and will cover costs associated with job related training and certifications Akina is committed to excellence and creating innovative and flexible solutions for our clients. We are a small company with an open ear to our employees' needs in order to attract and retain quality talent that enables our customer's mission.
www.akina-inc.com/careers Show more details...
via Waymo
posted_at: 14 days agoschedule_type: Full-time
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they’re going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the Waymo Driver—The World’s Most Experienced Driver™—to improve everyone's access to mobility while saving thousands of lives now lost to traffic crashes. Our... Waymo Driver powers Waymo One, our fully
Waymo is an autonomous driving technology company with a mission to make it safe and easy for people and things to get where they’re going. Since our start as the Google Self-Driving Car Project in 2009, Waymo has been focused on building the Waymo Driver—The World’s Most Experienced Driver™—to improve everyone's access to mobility while saving thousands of lives now lost to traffic crashes. Our... Waymo Driver powers Waymo One, our fully autonomous ride-hailing service, as well as Waymo Via, our trucking and local delivery service. To date, Waymo has driven over 20 million miles autonomously on public roads across 25 U.S. cities and conducted over 20 billion miles of simulation testing.
At Waymo, we are mission-driven and believe deeply in the opportunity of autonomous driving technology to improve mobility and make people's lives better. We are united by purpose and responsibility (for our employees and riders alike). We are looking for kind, committed, employees who have integrity, dream big, work together as one team and create a sense of belonging for one another that is the foundation of our culture. We want each team member to feel welcomed and included in every step of our exciting journey.
Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right choice for every situation, and deliver people safely to their destinations. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right choice for every situation, and deliver people safely to their destinations. Our offboard teams solve complex infrastructure and evaluation problems that accelerate development of the Waymo driver and help us scale our fleet.
Do you enjoy building systems and are excited about leveraging cutting edge technology for Autonomous Vehicle testing? If so, this team is for you! Backgrounds in TensorFlow, TPUs, ML infrastructures, and performance optimization with accelerators are a plus.
Example projects:
• Improve the realism of the TensorFlow-first simulation by supporting features such as vehicle simulation, simulated agents, and sensor simulation.
• Optimize simulator performance and scale to run it on planet-scale simulation infrastructure.
• Build trust in the TensorFlow-first simulation by establishing evaluation methodology grounded in real-world driving.
• Collaborate with research, behavior, and data science teams to deploy the technologies in their development workflows.
Some focus areas for this role are
• Lead engineers to design and build infrastructure components with a focus on reliability and scalability.
• Work cross functionally with engineers, data scientists, product managers, and analysts to deliver a system that optimizes for Waymo and all its needs as a whole
• Develop a deep understanding of how self-driving technology is evaluated
Minimum qualifications
• BS in Computer Science, similar technical field of study, or equivalent practical experience
• Experience with C++ (or a willingness to learn)
• 4+ years of industry experience or equivalent
• Passion for infrastructure work: building internal tools, frameworks, and libraries
Preferred qualifications
• MS in Computer Science, similar technical field of study, or equivalent practical experience
• Experience in TensorFlow, TPU, and performance optimization with accelerators
• Experience with data analytics, logging, or experiment frameworks
• Experience with building data pipelines and storage
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$150,000—$180,000 USD
While at Waymo, you will enjoy benefits that cover…
Health and wellness: Our people are at the heart of everything we do. At Waymo, you can enjoy top-notch medical, dental and vision insurance, mental wellness support, a Flexible Spending Account (FSA), a Health Saving Account (HSA), on-site physicians and/or nurses in some locations, and special wellness programs.
Financial wellness: Your financial peace of mind is important to us. At Waymo, we offer competitive compensation, bonus opportunities, equity, a generous 401(k) plan or regional retirement plans, 1-on-1 financial coaching, a 529 College Savings Plan and lots of other perks and employee discounts.
Flexibility and time off: Take the time you need to relax and recharge. Enjoy the flexibility to work from another location for four weeks per year. We support an on-site, hybrid work model and offer remote working opportunities, paid time off, Waymo recharge days, bereavement, sick, and parental leave.
Supporting families: When it comes to growing your family or caring for your loved ones, you have our full support. Enhanced leave options include paid parental leave (birthing parent gets 24 weeks of paid leave, and non-birthing parent gets 18 weeks of paid leave), and 20 subsidized days of backup childcare or adult/elder care. Access to fertility care or adoption support as you grow your family.
Community and personal development: At Waymo, you’ll find a range of opportunities to grow, connect, and give back. We offer education tuition reimbursement, personal and professional development, mentorship, and other ways to connect through Employee Resource Groups (ERGs), other internal groups, and even time off to volunteer.
Cool perks: Access to Google offices, cafes, wellness centers, personal training sessions, massages, haircuts, bike repairs, office transportation, commuter benefits and so much more. To support your wellbeing at home, you can enjoy at-home fitness and cooking classes, and more.
• Please note that while our benefits philosophy is the same in every place Waymonauts work, benefits may vary by office/country and are subject to eligibility requirements.
Note: The following is only applicable for roles hired in the US. As we keep the safety of our employees and our communities top of mind, COVID-19 vaccinations continue to be a critical prevention measure to help end the pandemic. Because of this, Waymo requires all US-based employees who perform work onsite for Waymo to be fully vaccinated against COVID-19. If you are unable to be vaccinated, Waymo will provide a reasonable accommodation consistent with applicable law Show more details...
At Waymo, we are mission-driven and believe deeply in the opportunity of autonomous driving technology to improve mobility and make people's lives better. We are united by purpose and responsibility (for our employees and riders alike). We are looking for kind, committed, employees who have integrity, dream big, work together as one team and create a sense of belonging for one another that is the foundation of our culture. We want each team member to feel welcomed and included in every step of our exciting journey.
Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right choice for every situation, and deliver people safely to their destinations. Software Engineering builds the brains of Waymo's fully autonomous driving technology. Our software allows the Waymo Driver to perceive the world around it, make the right choice for every situation, and deliver people safely to their destinations. Our offboard teams solve complex infrastructure and evaluation problems that accelerate development of the Waymo driver and help us scale our fleet.
Do you enjoy building systems and are excited about leveraging cutting edge technology for Autonomous Vehicle testing? If so, this team is for you! Backgrounds in TensorFlow, TPUs, ML infrastructures, and performance optimization with accelerators are a plus.
Example projects:
• Improve the realism of the TensorFlow-first simulation by supporting features such as vehicle simulation, simulated agents, and sensor simulation.
• Optimize simulator performance and scale to run it on planet-scale simulation infrastructure.
• Build trust in the TensorFlow-first simulation by establishing evaluation methodology grounded in real-world driving.
• Collaborate with research, behavior, and data science teams to deploy the technologies in their development workflows.
Some focus areas for this role are
• Lead engineers to design and build infrastructure components with a focus on reliability and scalability.
• Work cross functionally with engineers, data scientists, product managers, and analysts to deliver a system that optimizes for Waymo and all its needs as a whole
• Develop a deep understanding of how self-driving technology is evaluated
Minimum qualifications
• BS in Computer Science, similar technical field of study, or equivalent practical experience
• Experience with C++ (or a willingness to learn)
• 4+ years of industry experience or equivalent
• Passion for infrastructure work: building internal tools, frameworks, and libraries
Preferred qualifications
• MS in Computer Science, similar technical field of study, or equivalent practical experience
• Experience in TensorFlow, TPU, and performance optimization with accelerators
• Experience with data analytics, logging, or experiment frameworks
• Experience with building data pipelines and storage
The expected base salary range for this full-time position across US locations is listed below. Actual starting pay will be based on job-related factors, including exact work location, experience, relevant training and education, and skill level. Your recruiter can share more about the specific salary range for the role location or, if the role can be performed remote, the specific salary range for your preferred location, during the hiring process.
Waymo employees are also eligible to participate in Waymo’s discretionary annual bonus program, equity incentive plan, and generous Company benefits program, subject to eligibility requirements.
Salary Range
$150,000—$180,000 USD
While at Waymo, you will enjoy benefits that cover…
Health and wellness: Our people are at the heart of everything we do. At Waymo, you can enjoy top-notch medical, dental and vision insurance, mental wellness support, a Flexible Spending Account (FSA), a Health Saving Account (HSA), on-site physicians and/or nurses in some locations, and special wellness programs.
Financial wellness: Your financial peace of mind is important to us. At Waymo, we offer competitive compensation, bonus opportunities, equity, a generous 401(k) plan or regional retirement plans, 1-on-1 financial coaching, a 529 College Savings Plan and lots of other perks and employee discounts.
Flexibility and time off: Take the time you need to relax and recharge. Enjoy the flexibility to work from another location for four weeks per year. We support an on-site, hybrid work model and offer remote working opportunities, paid time off, Waymo recharge days, bereavement, sick, and parental leave.
Supporting families: When it comes to growing your family or caring for your loved ones, you have our full support. Enhanced leave options include paid parental leave (birthing parent gets 24 weeks of paid leave, and non-birthing parent gets 18 weeks of paid leave), and 20 subsidized days of backup childcare or adult/elder care. Access to fertility care or adoption support as you grow your family.
Community and personal development: At Waymo, you’ll find a range of opportunities to grow, connect, and give back. We offer education tuition reimbursement, personal and professional development, mentorship, and other ways to connect through Employee Resource Groups (ERGs), other internal groups, and even time off to volunteer.
Cool perks: Access to Google offices, cafes, wellness centers, personal training sessions, massages, haircuts, bike repairs, office transportation, commuter benefits and so much more. To support your wellbeing at home, you can enjoy at-home fitness and cooking classes, and more.
• Please note that while our benefits philosophy is the same in every place Waymonauts work, benefits may vary by office/country and are subject to eligibility requirements.
Note: The following is only applicable for roles hired in the US. As we keep the safety of our employees and our communities top of mind, COVID-19 vaccinations continue to be a critical prevention measure to help end the pandemic. Because of this, Waymo requires all US-based employees who perform work onsite for Waymo to be fully vaccinated against COVID-19. If you are unable to be vaccinated, Waymo will provide a reasonable accommodation consistent with applicable law Show more details...
via CareerBuilder
posted_at: 9 days agoschedule_type: Full-time
Sogeti is a leading provider of professional technology services, specializing in Application Management, Infrastructure Management, and High-Tech Engineering. Sogeti offers innovative solutions around Testing, Business Intelligence, Mobility, Cloud, and Security, combining world class methodologies and the global delivery model, Rightshore®. Sogeti brings together more than 20,000 professionals... in 15 countries and is present in over 100 locations
Sogeti is a leading provider of professional technology services, specializing in Application Management, Infrastructure Management, and High-Tech Engineering. Sogeti offers innovative solutions around Testing, Business Intelligence, Mobility, Cloud, and Security, combining world class methodologies and the global delivery model, Rightshore®. Sogeti brings together more than 20,000 professionals... in 15 countries and is present in over 100 locations in Europe, the US and India. Sogeti is a wholly-owned subsidiary of Cap Gemini S.A., listed on the Paris Stock Exchange.
At Sogeti USA, we are committed to building a long and enduring relationship with our employees and to creating an environment that rewards and empowers. Our mission is to constantly exceed our employees' expectations in the same way that we strive to exceed our clients' expectations. We offer an environment that celebrates innovation and helps you to achieve a good balance between your professional and personal life. We strive to be an employer of choice!
Minimum education qualification
• A bachelor's degree in anydiscipline. MBA or equivalent degree preferred.
The ideal candidate will have:
• Sogeti P&G Cincinnati is growing and we are looking for NLP and Tensorflow skilled consultants with the following:
• 1.Required:Python experience and Linux (Ubuntu, RedHat, or similar)2.Niceto have:Neural network, text-mining, or cognitive computing experience of anykind3. Skills:TensorFlow, SyntaxNet, Parsey McParseface, and/or Word2Vec
The benefits our employees enjoy:
• 401(k) Savings Plan- Matched150% up to 6%. (Our 401k is in the top 1% of 401(k) plans offered in theUS!)
• Medical/Prescription/Dental/VisionCoverage
• Bonus Program that pays up to$24,000!
• $12,000 in TuitionReimbursement
• 100% Company-paid mobile phoneplan
• Personal Time Off (PTO)-Ensuring a balance of work and home life
Sogeti is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law Show more details...
At Sogeti USA, we are committed to building a long and enduring relationship with our employees and to creating an environment that rewards and empowers. Our mission is to constantly exceed our employees' expectations in the same way that we strive to exceed our clients' expectations. We offer an environment that celebrates innovation and helps you to achieve a good balance between your professional and personal life. We strive to be an employer of choice!
Minimum education qualification
• A bachelor's degree in anydiscipline. MBA or equivalent degree preferred.
The ideal candidate will have:
• Sogeti P&G Cincinnati is growing and we are looking for NLP and Tensorflow skilled consultants with the following:
• 1.Required:Python experience and Linux (Ubuntu, RedHat, or similar)2.Niceto have:Neural network, text-mining, or cognitive computing experience of anykind3. Skills:TensorFlow, SyntaxNet, Parsey McParseface, and/or Word2Vec
The benefits our employees enjoy:
• 401(k) Savings Plan- Matched150% up to 6%. (Our 401k is in the top 1% of 401(k) plans offered in theUS!)
• Medical/Prescription/Dental/VisionCoverage
• Bonus Program that pays up to$24,000!
• $12,000 in TuitionReimbursement
• 100% Company-paid mobile phoneplan
• Personal Time Off (PTO)-Ensuring a balance of work and home life
Sogeti is an Equal Opportunity Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law Show more details...
via Built In
schedule_type: Full-time
Sogeti is a leading provider of professional technologyservices, specializing in Application Management, Infrastructure Management,and High-Tech Engineering. Sogeti offers innovative solutions around Testing,Business Intelligence, Mobility, Cloud, and Security, combining world classmethodologies and the global delivery model, Rightshore®. Sogeti bringstogether more than 20,000 professionals in 15... countries and is present in over100 locations in
Sogeti is a leading provider of professional technologyservices, specializing in Application Management, Infrastructure Management,and High-Tech Engineering. Sogeti offers innovative solutions around Testing,Business Intelligence, Mobility, Cloud, and Security, combining world classmethodologies and the global delivery model, Rightshore®. Sogeti bringstogether more than 20,000 professionals in 15... countries and is present in over100 locations in Europe, the US and India. Sogeti is a wholly-owned subsidiaryof Cap Gemini S.A., listed on the Paris Stock Exchange.
At Sogeti USA, we are committed to building a long and enduringrelationship with our employees and to creating an environment that rewards andempowers. Our mission is to constantly exceed our employees' expectations inthe same way that we strive to exceed our clients' expectations. We offer anenvironment that celebrates innovation and helps you to achieve a good balancebetween your professional and personal life. We strive to be an employer ofchoice!
Minimum education qualification
• A bachelor's degree in any discipline. MBA or equivalent degree preferred.
The ideal candidate will have:
• Sogeti P&G Cincinnati is growing and we are looking for NLP and Tensorflow skilled consultants with the following:
• 1. Required:Python experience and Linux (Ubuntu, RedHat, or similar)
2. Niceto have:Neural network, text-mining, or cognitive computing experience of anykind
3. Skills:TensorFlow, SyntaxNet, Parsey McParseface, and/or Word2Vec
The benefits our employees enjoy:
• 401(k) Savings Plan- Matched 150% up to 6%. (Our 401k is in the top 1% of 401(k) plans offered in the US!)
• Medical/Prescription/Dental/Vision Coverage
• Bonus Program that pays up to $24,000!
• $12,000 in Tuition Reimbursement
• 100% Company-paid mobile phone plan
• Personal Time Off (PTO)- Ensuring a balance of work and home life Show more details...
At Sogeti USA, we are committed to building a long and enduringrelationship with our employees and to creating an environment that rewards andempowers. Our mission is to constantly exceed our employees' expectations inthe same way that we strive to exceed our clients' expectations. We offer anenvironment that celebrates innovation and helps you to achieve a good balancebetween your professional and personal life. We strive to be an employer ofchoice!
Minimum education qualification
• A bachelor's degree in any discipline. MBA or equivalent degree preferred.
The ideal candidate will have:
• Sogeti P&G Cincinnati is growing and we are looking for NLP and Tensorflow skilled consultants with the following:
• 1. Required:Python experience and Linux (Ubuntu, RedHat, or similar)
2. Niceto have:Neural network, text-mining, or cognitive computing experience of anykind
3. Skills:TensorFlow, SyntaxNet, Parsey McParseface, and/or Word2Vec
The benefits our employees enjoy:
• 401(k) Savings Plan- Matched 150% up to 6%. (Our 401k is in the top 1% of 401(k) plans offered in the US!)
• Medical/Prescription/Dental/Vision Coverage
• Bonus Program that pays up to $24,000!
• $12,000 in Tuition Reimbursement
• 100% Company-paid mobile phone plan
• Personal Time Off (PTO)- Ensuring a balance of work and home life Show more details...
via WANE Jobs
posted_at: 3 days agoschedule_type: Full-time
Notes :: The ideal candidate should have experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, Tensorflow/TFserving (is a plus) and Experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT.
Mandatory Skills: Istio, Ambassador, Seldon Core, Triton, Tensorflow, TFServing, Cuda...
Looking for a highly energetic and collaborative ML Engineer with experience building enterprise
Notes :: The ideal candidate should have experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, Tensorflow/TFserving (is a plus) and Experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT.
Mandatory Skills: Istio, Ambassador, Seldon Core, Triton, Tensorflow, TFServing, Cuda...
Looking for a highly energetic and collaborative ML Engineer with experience building enterprise solutions on web / cloud platforms. The ideal candidate should have experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, Tensorflow/TFserving and Experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT. The candidate should be a proven self-starter with demonstrated ability to make decisions and accept responsibility and risk. Excellent written and verbal communication skills with the ability to collaborate effectively with domain experts and IT leadership team is key to be successful in this role.
Tools/Skills (hands-on Experience Is Must)
programming experience in Python, Node, Golang, or Bash
experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, Tensorflow/TFserving
experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT
experience with administering Kubernetes (Cloud (EKS/GKE/AKS) or on-prem Kubernetes (native Kubernetes, Gravity, MetalK8s)), Kubernetes cluster networking and Linux host networking
Deploy and configure Kubernetes components for production cluster, including API Gateway, Ingress, Model Serving, Logging, Monitoring, Cron Jobs
used observability tools such as Splunk, Prometheus, and Grafana
In-depth knowledge of Docker
Background with automation and monitoring platforms, MLOps ,and configuration management platforms
Key Responsibilities
Work with Walmart's AI/ML Platform Enablement team within the eCommerce Analytics team. The broader team is currently on a transformation path, and this role will be instrumental in enabling the broader team's vision.
Work closely with data scientists to help with production models and maintain them in production.
Deploy and configure Kubernetes components for production cluster, including API Gateway, Ingress, Model Serving, Logging, Monitoring, Cron Jobs, etc. Improve the model deployment process for MLE for faster builds and simplified workflows
Be a technical leader on various projects across platforms and a hands-on contributor of the entire platform's architecture
System administration, security compliance, and internal tech audits
Responsible for leading operational excellence initiatives in the AI/ML space which includes efficient use of resources, identifying optimization opportunities, forecasting capacity, etc.
Design and implement different flavors of architecture to deliver better system performance and resiliency.
Develop capability requirements and transition plan for the next generation of AI/ML enablement technology, tools, and processes to enable Walmart to efficiently improve performance with scale.
Tools/Skills (hands-on Experience Is Must)
Administering Kubernetes. Ability to create, maintain, scale, and debug production Kubernetes clusters as a Kubernetes administrator and In-depth knowledge of Docker.
Ability to transform designs ground up and lead innovation in system design
Deep understanding of data center architectures, networking, storage solutions, and scale system performance
Have worked on at least one Kubernetes cloud offering (EKS/GKE/AKS) or on-prem Kubernetes (native Kubernetes, Gravity, MetalK8s)
Programming experience in Python, Node, Golang, or bash
Ability to use observability tools (Splunk, Prometheus, and Grafana ) to look at logs and metrics to diagnose issues within the system.
Experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, Tensorflow/TFserving is a plus.
Experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT
Experience hardening a production-level Kubernetes environment (memory/CPU/GPU limits, node taints, annotations/labels, etc.)
Experience with Kubernetes cluster networking and Linux host networking
Experience scaling infrastructure to support high-throughput data-intensive applications
Background with automation and monitoring platforms, MLOps ,and configuration management platforms
Education & Experience: -
5+ years relevant experience in roles with responsibility over data platforms and data operations dealing with large volumes of data in cloud based distributed computing environments.
Graduate degree preferred in a quantitative discipline (e.g., computer engineering, computer science, economics, math, operations research).
Proven ability to solve enterprise level data operations problems at scale which require cross-functional collaboration for solution development, implementation, and adoption Show more details...
Mandatory Skills: Istio, Ambassador, Seldon Core, Triton, Tensorflow, TFServing, Cuda...
Looking for a highly energetic and collaborative ML Engineer with experience building enterprise solutions on web / cloud platforms. The ideal candidate should have experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, Tensorflow/TFserving and Experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT. The candidate should be a proven self-starter with demonstrated ability to make decisions and accept responsibility and risk. Excellent written and verbal communication skills with the ability to collaborate effectively with domain experts and IT leadership team is key to be successful in this role.
Tools/Skills (hands-on Experience Is Must)
programming experience in Python, Node, Golang, or Bash
experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, Tensorflow/TFserving
experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT
experience with administering Kubernetes (Cloud (EKS/GKE/AKS) or on-prem Kubernetes (native Kubernetes, Gravity, MetalK8s)), Kubernetes cluster networking and Linux host networking
Deploy and configure Kubernetes components for production cluster, including API Gateway, Ingress, Model Serving, Logging, Monitoring, Cron Jobs
used observability tools such as Splunk, Prometheus, and Grafana
In-depth knowledge of Docker
Background with automation and monitoring platforms, MLOps ,and configuration management platforms
Key Responsibilities
Work with Walmart's AI/ML Platform Enablement team within the eCommerce Analytics team. The broader team is currently on a transformation path, and this role will be instrumental in enabling the broader team's vision.
Work closely with data scientists to help with production models and maintain them in production.
Deploy and configure Kubernetes components for production cluster, including API Gateway, Ingress, Model Serving, Logging, Monitoring, Cron Jobs, etc. Improve the model deployment process for MLE for faster builds and simplified workflows
Be a technical leader on various projects across platforms and a hands-on contributor of the entire platform's architecture
System administration, security compliance, and internal tech audits
Responsible for leading operational excellence initiatives in the AI/ML space which includes efficient use of resources, identifying optimization opportunities, forecasting capacity, etc.
Design and implement different flavors of architecture to deliver better system performance and resiliency.
Develop capability requirements and transition plan for the next generation of AI/ML enablement technology, tools, and processes to enable Walmart to efficiently improve performance with scale.
Tools/Skills (hands-on Experience Is Must)
Administering Kubernetes. Ability to create, maintain, scale, and debug production Kubernetes clusters as a Kubernetes administrator and In-depth knowledge of Docker.
Ability to transform designs ground up and lead innovation in system design
Deep understanding of data center architectures, networking, storage solutions, and scale system performance
Have worked on at least one Kubernetes cloud offering (EKS/GKE/AKS) or on-prem Kubernetes (native Kubernetes, Gravity, MetalK8s)
Programming experience in Python, Node, Golang, or bash
Ability to use observability tools (Splunk, Prometheus, and Grafana ) to look at logs and metrics to diagnose issues within the system.
Experience with Seldon core, MLFlow, Istio, Jaeger, Ambassador, Triton, PyTorch, Tensorflow/TFserving is a plus.
Experience with distributed computing and deep learning technologies such as Apache MXNet, CUDA, cuDNN, TensorRT
Experience hardening a production-level Kubernetes environment (memory/CPU/GPU limits, node taints, annotations/labels, etc.)
Experience with Kubernetes cluster networking and Linux host networking
Experience scaling infrastructure to support high-throughput data-intensive applications
Background with automation and monitoring platforms, MLOps ,and configuration management platforms
Education & Experience: -
5+ years relevant experience in roles with responsibility over data platforms and data operations dealing with large volumes of data in cloud based distributed computing environments.
Graduate degree preferred in a quantitative discipline (e.g., computer engineering, computer science, economics, math, operations research).
Proven ability to solve enterprise level data operations problems at scale which require cross-functional collaboration for solution development, implementation, and adoption Show more details...
via ZipRecruiter
schedule_type: Contractorwork_from_home: 1
Job Description
Job Title: Python with Tensorflow Experience...
Job Location: Boston , MA/Remote
Duration: Contract to Hire
Client Name :: TMC(Tufts Medical Center)
About the Job:
We are currently seeking a Machine Learning Python Engineer with solid architecture skills and strong experience in Tensorflow. As a part of this team, you should be able to communicate efficiently and effectively with both technical and non-technical audiences.
Strong
Job Description
Job Title: Python with Tensorflow Experience...
Job Location: Boston , MA/Remote
Duration: Contract to Hire
Client Name :: TMC(Tufts Medical Center)
About the Job:
We are currently seeking a Machine Learning Python Engineer with solid architecture skills and strong experience in Tensorflow. As a part of this team, you should be able to communicate efficiently and effectively with both technical and non-technical audiences.
Strong TensorFlow experience.
Experience developing ETL solutions.
Highly skilled with Python.
Experience:
4+ years working as a data engineer or in similar role.
Time spent working as a consultant.
B.S. or higher degree in Computer Science, or equivalent relevant experience Show more details...
Job Title: Python with Tensorflow Experience...
Job Location: Boston , MA/Remote
Duration: Contract to Hire
Client Name :: TMC(Tufts Medical Center)
About the Job:
We are currently seeking a Machine Learning Python Engineer with solid architecture skills and strong experience in Tensorflow. As a part of this team, you should be able to communicate efficiently and effectively with both technical and non-technical audiences.
Strong TensorFlow experience.
Experience developing ETL solutions.
Highly skilled with Python.
Experience:
4+ years working as a data engineer or in similar role.
Time spent working as a consultant.
B.S. or higher degree in Computer Science, or equivalent relevant experience Show more details...
via Cleveland, OH - Geebo
posted_at: 6 days agoschedule_type: Full-timesalary: 20–28 an hour
DescriptionHere at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 100M
installs and 65K
stars on GitHub, over 10 thousand companies are using HF technology in production... including leading AI organizations such as Google,
DescriptionHere at Hugging Face, we're on a journey to advance good Machine Learning and make it more accessible. Along the way, we contribute to the development of technology for the better.We have built the fastest-growing, open-source, library of pre-trained models in the world. With over 100M
installs and 65K
stars on GitHub, over 10 thousand companies are using HF technology in production... including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.About The RoleAs an ML engineer specialized in Tensorflow model training, you will work mainly with existing open-source libraries, such as Transformers and Accelerate to boost the support for all the new advances in model training and fine-tuning such as DeepSpeed, fairscale, and all forms of model parallelism.You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners, and data scientists on a daily basis through GitHub, our forums, or slack.About YouIf you love open source, are passionate about making complex technology more accessible, have experience building and training large models in Tensorflow, and want to contribute to one of the fastest-growing ML libraries, then we can't wait to see your application!If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.More About Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supportedâ ¬”regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.
SDL2017
Estimated Salary: $20 to $28 per hour based on qualifications Show more details...
installs and 65K
stars on GitHub, over 10 thousand companies are using HF technology in production... including leading AI organizations such as Google, Elastic, Salesforce, Algolia, and Grammarly.About The RoleAs an ML engineer specialized in Tensorflow model training, you will work mainly with existing open-source libraries, such as Transformers and Accelerate to boost the support for all the new advances in model training and fine-tuning such as DeepSpeed, fairscale, and all forms of model parallelism.You'll get to foster one of the most active machine learning communities, helping users contribute to and use the tools that you build. You'll interact with Researchers, ML practitioners, and data scientists on a daily basis through GitHub, our forums, or slack.About YouIf you love open source, are passionate about making complex technology more accessible, have experience building and training large models in Tensorflow, and want to contribute to one of the fastest-growing ML libraries, then we can't wait to see your application!If you're interested in joining us, but don't tick every box above, we still encourage you to apply! We're building a diverse team whose skills, experiences, and backgrounds complement one another. We're happy to consider where you might be able to make the biggest impact.More About Hugging FaceWe are actively working to build a culture that values diversity, equity, and inclusivity. We are intentionally building a workplace where people feel respected and supportedâ ¬”regardless of who you are or where you come from. We believe this is foundational to building a great company and community. Hugging Face is an equal opportunity employer and we do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.We value development. You will work with some of the smartest people in our industry. We are an organization that has a bias for impact and is always challenging ourselves to continuously grow. We provide all employees with reimbursement for relevant conferences, training, and education.We care about your well-being. We offer flexible working hours and remote options. We offer health, dental, and vision benefits for employees and their dependents. We also offer 12 weeks of parental leave (20 for birthing mothers) and unlimited paid time off.We support our employees wherever they are. While we have office spaces in NYC and Paris, we're very distributed and all remote employees have the opportunity to visit our offices. If needed, we'll also outfit your workstation to ensure you succeed.We want our teammates to be shareholders. All employees have company equity as part of their compensation package. If we succeed in becoming a category-defining platform in machine learning and artificial intelligence, everyone enjoys the upside.We support the community. We believe major scientific advancements are the result of collaboration across the field. Join a community supporting the ML/AI community.
SDL2017
Estimated Salary: $20 to $28 per hour based on qualifications Show more details...
via Jooble
posted_at: 15 days agoschedule_type: Part-time
Tensor flow teacher for ML
Tensor flow teacher for ML
Show more details...
via Monster
schedule_type: Full-time
Detailed Requirement: We need a candidate with strong Python experience in Client/DL area. The associate must have worked on Client algorithms and must have strong knowledge of Tensorflow libraries. Hands on coding will be required for this role.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any... discrimination. All applicants will be evaluated solely
Detailed Requirement: We need a candidate with strong Python experience in Client/DL area. The associate must have worked on Client algorithms and must have strong knowledge of Tensorflow libraries. Hands on coding will be required for this role.
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any... discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company Show more details...
Diverse Lynx LLC is an Equal Employment Opportunity employer. All qualified applicants will receive due consideration for employment without any... discrimination. All applicants will be evaluated solely on the basis of their ability, competence and their proven capability to perform the functions outlined in the corresponding role. We promote and support a diverse workforce across all levels in the company Show more details...
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