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Analytics India Magazine
Analytics India Magazine
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Analytics India Magazine (AIM) is a leading digital publication focused on all aspects of data analytics, artificial intelligence, and machine learning. Serving as a one-stop destination for industry insights and news, AIM covers a wide range of topics including data science, big data, deep learning, IoT, business analytics, and more. The website provides a platform for experts and enthusiasts alike to share their knowledge, research, and experiences through articles, interviews, and opinion pieces. AIM also offers a comprehensive job portal for professionals in the field, along with hosting various events and conferences. With its in-depth coverage and vast resources, Analytics India Magazine is a go-to resource for anyone interested in the analytics and AI space.
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Popular Questions for Analytics India Magazine
Newest job postings for Analytics India Magazine
via LinkedIn
posted_at: 5 hours agoschedule_type: Full-time
Inviting applications for the role of a Text Mining/NLP - Data Science and Insights.
The candidate should be MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with 5+ years of relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
Or
Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a
Business use
Inviting applications for the role of a Text Mining/NLP - Data Science and Insights.
The candidate should be MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with 5+ years of relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
Or
Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a
Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning,
Implementation and Change Management, considerable experience in Hadoop including
development in map-reduce framework.
Key Roles and Responsibilities
The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise
database teams, and business /functional resources. At a broad level, the TMS will leverage
his/her solutioning expertise to translate the customer’s business need into a techno-analytic
problem and appropriately work... with database teams to bring large scale text analytic solutions
to fruition. The right candidate should have prior experience in developing text mining and NLP
solutions using open source tools
The key responsibilities of the Text Mining Scientist are:
• Develop transformative AI/ML solutions to address our clients’ business requirements and challenges
• Project Delivery - This would entail successful delivery of projects involving data Pre processing, Model Training and Evaluation, Parameter Tuning
• Manage Stakeholder/Customer Expectations
• Project Blue Printing and Project Documentation
• Creating Project Plan
• Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc.
• Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines
• Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap.
• Work with digital development teams to integrate and transform these algorithms into production quality applications
• Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers
Required and Preferred Skills
Specific Competencies – Essential
• Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais, StanfordNLP,
• GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS
• Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS-Text Miner
• Strong Core Java experience in large scale product development and functional knowledge of RDBMs
• Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing
• Very good python/R programming skills. Java programming skills a plus
• 5+ years Solutioning & Consulting experience in verticals such as BFSI, CPG, with atleast
• 1.5 years’ experience in delivering text analytics on large structured and unstructured data
• A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information
• Retrieval and Extraction, NLG, NLU
• Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking,
• Summarization, etc.
• Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Show more details...
The candidate should be MS in Computer Science, Information systems, or Computer engineering, Systems Engineering with 5+ years of relevant experience in Text Mining / Natural Language Processing (NLP) tools, Data sciences, Big Data and algorithms.
Or
Full cycle experience desirable in atleast 1 Large Scale Text Mining/NLP project from creating a
Business use case, Text Analytics assessment/roadmap, Technology & Analytic Solutioning,
Implementation and Change Management, considerable experience in Hadoop including
development in map-reduce framework.
Key Roles and Responsibilities
The Text Mining Scientist (TMS) is expected to play a pivotal bridging role between enterprise
database teams, and business /functional resources. At a broad level, the TMS will leverage
his/her solutioning expertise to translate the customer’s business need into a techno-analytic
problem and appropriately work... with database teams to bring large scale text analytic solutions
to fruition. The right candidate should have prior experience in developing text mining and NLP
solutions using open source tools
The key responsibilities of the Text Mining Scientist are:
• Develop transformative AI/ML solutions to address our clients’ business requirements and challenges
• Project Delivery - This would entail successful delivery of projects involving data Pre processing, Model Training and Evaluation, Parameter Tuning
• Manage Stakeholder/Customer Expectations
• Project Blue Printing and Project Documentation
• Creating Project Plan
• Understand and research cutting edge industrial and academic developments in AI/ML with NLP/NLU applications in diverse industries such as CPG, Finance etc.
• Conceptualize, Design, build and develop solution algorithms which demonstrate the minimum required functionality within tight timelines
• Interact with clients to collect, synthesize, and propose requirements and create effective analytics/text mining roadmap.
• Work with digital development teams to integrate and transform these algorithms into production quality applications
• Do applied research on a wide array of text analytics and machine learning projects, file patents and publish the papers
Required and Preferred Skills
Specific Competencies – Essential
• Open Source Text Mining paradigms such as NLTK, OpenNLP, OpenCalais, StanfordNLP,
• GATE, UIMA, Lucene, and cloud based NLU tools such as DialogFlow, MS LUIS
• Exposure to Statistical Toolkits such as R, Weka, S-Plus, Matlab, SAS-Text Miner
• Strong Core Java experience in large scale product development and functional knowledge of RDBMs
• Hands on to programing in the Hadoop ecosystem, and concepts in distributed computing
• Very good python/R programming skills. Java programming skills a plus
• 5+ years Solutioning & Consulting experience in verticals such as BFSI, CPG, with atleast
• 1.5 years’ experience in delivering text analytics on large structured and unstructured data
• A solid foundation in AI Methodologies like ML, DL, NLP, Neural Networks, Information
• Retrieval and Extraction, NLG, NLU
• Exposed to concepts in Natural Language Processing & Statistics, esp., in their application such as Sentiment Analysis, Contextual NLP, Dependency Parsing, Parsing, Chunking,
• Summarization, etc.
• Demonstrated ability to Conduct look-ahead client research with focus on supplementing and strengthening the client’s analytics agenda with newer tools and techniques Show more details...
via LinkedIn
posted_at: 1 day agoschedule_type: Full-time
Data Science Faculty
Analytics India Magazine (AIM) is the leading technology media company based out of Bangalore. Our mission is to empower machine learning professionals to learn, network and grow & thus strengthening the whole ecosystem in India.
We are looking for a data science faculty/instructor who can help us curate niche content around data science & Machine Learning.
Primary Responsibilities:
- Designing, developing and delivering lectures
Data Science Faculty
Analytics India Magazine (AIM) is the leading technology media company based out of Bangalore. Our mission is to empower machine learning professionals to learn, network and grow & thus strengthening the whole ecosystem in India.
We are looking for a data science faculty/instructor who can help us curate niche content around data science & Machine Learning.
Primary Responsibilities:
- Designing, developing and delivering lectures and courses in data science & Machine Learning at all levels.
- Developing course material such as syllabi, lecture slides and labs.
- Promoting the effective use of learning technologies and resources to support the teaching program.
- Supporting self-learning initiatives among learners that allow them to acquire knowledge and skills on their own.
- Monitoring and evaluating student progress, providing guidance and feedback to students in the data science & Machine Learning courses.
- Writing research papers/blogs related to... data science & Machine Learning topics.
- Developing assessment tools to evaluate student performance in the course(s).
- Keeping up to date with industry trends and developments in the data science & Machine Learning space.
Qualifications:
- A Master's degree or a Ph.D. in Computer Science, Mathematics, Statistics or related field is required.
- Experience of teaching/mentoring in data science & Machine Learning at an undergraduate or graduate level.
- Knowledge of programming languages such as Python, R and/or other related technologies.
- Excellent communication skills; both oral and written.
- Ability to work independently or in a team environment.
- Strong problem solving & analytical skills.
- A passion for teaching data science & Machine Learning to the next generation of professionals Show more details...
Analytics India Magazine (AIM) is the leading technology media company based out of Bangalore. Our mission is to empower machine learning professionals to learn, network and grow & thus strengthening the whole ecosystem in India.
We are looking for a data science faculty/instructor who can help us curate niche content around data science & Machine Learning.
Primary Responsibilities:
- Designing, developing and delivering lectures and courses in data science & Machine Learning at all levels.
- Developing course material such as syllabi, lecture slides and labs.
- Promoting the effective use of learning technologies and resources to support the teaching program.
- Supporting self-learning initiatives among learners that allow them to acquire knowledge and skills on their own.
- Monitoring and evaluating student progress, providing guidance and feedback to students in the data science & Machine Learning courses.
- Writing research papers/blogs related to... data science & Machine Learning topics.
- Developing assessment tools to evaluate student performance in the course(s).
- Keeping up to date with industry trends and developments in the data science & Machine Learning space.
Qualifications:
- A Master's degree or a Ph.D. in Computer Science, Mathematics, Statistics or related field is required.
- Experience of teaching/mentoring in data science & Machine Learning at an undergraduate or graduate level.
- Knowledge of programming languages such as Python, R and/or other related technologies.
- Excellent communication skills; both oral and written.
- Ability to work independently or in a team environment.
- Strong problem solving & analytical skills.
- A passion for teaching data science & Machine Learning to the next generation of professionals Show more details...
via LinkedIn
schedule_type: Full-time
Job Summary
As part of 'AI Works' team, responsible for developing and deploying AI/ML based solutions across max life core business processes and systems.
Key Responsibilities
• Understand business processes, collect and integrate data from various data sources to be used for building AI/ML solutions
• Laison and collaborate with different business stakeholders and back end engineering teams to develop, test and deploy AI based solutions
•
Job Summary
As part of 'AI Works' team, responsible for developing and deploying AI/ML based solutions across max life core business processes and systems.
Key Responsibilities
• Understand business processes, collect and integrate data from various data sources to be used for building AI/ML solutions
• Laison and collaborate with different business stakeholders and back end engineering teams to develop, test and deploy AI based solutions
• Perform data analysis, data discovery to find meaningful and actionable business insights and discuss such data driven stories with business teams
• Work with both structured and unstructured data to develop solutions leveraging all kinds of AI techniques (primarily leveraging python)
• Work with technology and deployment teams to enable on cloud solution deployment and integration across various Max Life core business systems
• Work towards standardizing back end AI/ML solution pipelines leveraging MLOps
• Work with AI team members to solve... technical problems and guide them through solution building
• Assist the project leader towards project management of AI/ML projects to ensure on-time and high quality delivery through day to day monitoring of progress
• Create frameworks and tools to monitor solution performance, suggest measures for improvement and possible enhancements from time to time
Education
Desired qualification and experience :
• Master's degree in quantitative fields like mathematics, computer science, engineering, statistics, economics from premiere institutes
Experience
• Minimum of 8-10 years of related work experience in analytical roles
Key Competencies/Skills Required
• Hands on experience in development and deployment of ML/DL/NLP based solutions (primarily with Python)
• Applied knowledge of machine learning, Deep Learning technologies
• Experience in working with various open-source tools and technologies such as Python, R, Spark etc. ML / DL frameworks like tensor flow, keras, AutoML, pytorch etc.
• Knowledge and Experience in working with cloud stack - AWS for enabling on cloud solution deployment
• Strong project management skills with exposure to agile project delivery practices
• Strong communication skills to collaborate with business and technology teams
• Ability to work with a lean team internally, with self-starter and entrepreneurial attitude
• Enthusiastic self-learner with builder mindset
(ref:hirist.com Show more details...
As part of 'AI Works' team, responsible for developing and deploying AI/ML based solutions across max life core business processes and systems.
Key Responsibilities
• Understand business processes, collect and integrate data from various data sources to be used for building AI/ML solutions
• Laison and collaborate with different business stakeholders and back end engineering teams to develop, test and deploy AI based solutions
• Perform data analysis, data discovery to find meaningful and actionable business insights and discuss such data driven stories with business teams
• Work with both structured and unstructured data to develop solutions leveraging all kinds of AI techniques (primarily leveraging python)
• Work with technology and deployment teams to enable on cloud solution deployment and integration across various Max Life core business systems
• Work towards standardizing back end AI/ML solution pipelines leveraging MLOps
• Work with AI team members to solve... technical problems and guide them through solution building
• Assist the project leader towards project management of AI/ML projects to ensure on-time and high quality delivery through day to day monitoring of progress
• Create frameworks and tools to monitor solution performance, suggest measures for improvement and possible enhancements from time to time
Education
Desired qualification and experience :
• Master's degree in quantitative fields like mathematics, computer science, engineering, statistics, economics from premiere institutes
Experience
• Minimum of 8-10 years of related work experience in analytical roles
Key Competencies/Skills Required
• Hands on experience in development and deployment of ML/DL/NLP based solutions (primarily with Python)
• Applied knowledge of machine learning, Deep Learning technologies
• Experience in working with various open-source tools and technologies such as Python, R, Spark etc. ML / DL frameworks like tensor flow, keras, AutoML, pytorch etc.
• Knowledge and Experience in working with cloud stack - AWS for enabling on cloud solution deployment
• Strong project management skills with exposure to agile project delivery practices
• Strong communication skills to collaborate with business and technology teams
• Ability to work with a lean team internally, with self-starter and entrepreneurial attitude
• Enthusiastic self-learner with builder mindset
(ref:hirist.com Show more details...
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