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via Upwork
schedule_type: Contractorwork_from_home: 1
Remote Python Developer (NLTK/NLP) - Voiceflip Technologies Inc
Voiceflip Technologies Inc is seeking a highly motivated Python Developer with experience in NLP to join our team in a fully remote position. The successful candidate will be responsible for designing, developing, and maintaining software applications using Python and the NLTK package...
Key Responsibilities:
Develop, test, and maintain software applications using Python and the NLTK
Remote Python Developer (NLTK/NLP) - Voiceflip Technologies Inc
Voiceflip Technologies Inc is seeking a highly motivated Python Developer with experience in NLP to join our team in a fully remote position. The successful candidate will be responsible for designing, developing, and maintaining software applications using Python and the NLTK package...
Key Responsibilities:
Develop, test, and maintain software applications using Python and the NLTK package.
Collaborate with cross-functional teams to understand and implement software requirements.
Research, design, and implement new NLP techniques to improve application performance.
Troubleshoot and debug issues with software applications.
Write and maintain documentation for software applications.
Continuously learn and stay up-to-date with the latest developments in NLP and Python programming.
Qualifications:
Strong experience with Python and the NLTK package.
Experience with NLP techniques and concepts.
Experience with WebSpeech API or similar voice input technologies.
Strong problem-solving and analytical skills.
Experience with Git and version control.
Strong written and verbal communication skills.
Bachelor's degree in Computer Science or related field (preferred).
Nice to have but not necessary skills:
Experience with machine learning and deep learning frameworks such as TensorFlow or PyTorch
Experience with cloud services such as AWS, Azure, or GCP.
Experience with database systems such as MySQL, MongoDB, or PostgreSQL.
This is a fully remote position, allowing for a flexible work schedule and the ability to work from anywhere.
Voiceflip Technologies Inc is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees Show more details...
Voiceflip Technologies Inc is seeking a highly motivated Python Developer with experience in NLP to join our team in a fully remote position. The successful candidate will be responsible for designing, developing, and maintaining software applications using Python and the NLTK package...
Key Responsibilities:
Develop, test, and maintain software applications using Python and the NLTK package.
Collaborate with cross-functional teams to understand and implement software requirements.
Research, design, and implement new NLP techniques to improve application performance.
Troubleshoot and debug issues with software applications.
Write and maintain documentation for software applications.
Continuously learn and stay up-to-date with the latest developments in NLP and Python programming.
Qualifications:
Strong experience with Python and the NLTK package.
Experience with NLP techniques and concepts.
Experience with WebSpeech API or similar voice input technologies.
Strong problem-solving and analytical skills.
Experience with Git and version control.
Strong written and verbal communication skills.
Bachelor's degree in Computer Science or related field (preferred).
Nice to have but not necessary skills:
Experience with machine learning and deep learning frameworks such as TensorFlow or PyTorch
Experience with cloud services such as AWS, Azure, or GCP.
Experience with database systems such as MySQL, MongoDB, or PostgreSQL.
This is a fully remote position, allowing for a flexible work schedule and the ability to work from anywhere.
Voiceflip Technologies Inc is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees Show more details...
via Upwork
posted_at: 13 days agoschedule_type: Contractorwork_from_home: 1
I'm currently working on a bot that will help me identify opportunities to find high-yielding, high-demand products by comparing prices from other vendors and my suppliers.
The bot will collect data on product prices and availability from these marketplaces, use data analysis and machine learning techniques to determine the best products to buy and sell, and execute the trades automatically... using APIs or web scraping tools.
I have a dataset,
I'm currently working on a bot that will help me identify opportunities to find high-yielding, high-demand products by comparing prices from other vendors and my suppliers.
The bot will collect data on product prices and availability from these marketplaces, use data analysis and machine learning techniques to determine the best products to buy and sell, and execute the trades automatically... using APIs or web scraping tools.
I have a dataset, scrapped using python and temporally stored to google sheets for testing, containing product information from different vendors and I need help to classify them according to brand, name, size, collection, gender, presentation, UPC, EIN, and description. However, since different vendors use different formats for the same product, some data processing and cleaning using Pandas would be required. Additionally, machine learning libraries such as scikit-learn and NLTK could be utilized for product classification.
An example of the data set is provided in the following link:
https://docs.google.com/spreadsheets/d/1jAABjD6AzxT_JNL5S-uhbPg-SvM6JAiZBzNRxAAEZ8c/edit?usp=sharing
milestones or deliverables
Milestone 1: Pre-process the data and extract relevant features
Milestone 2: Normalize the features and cluster similar products
Milestone 3: Train and evaluate machine learning models for product classification
Milestone 4: Integrate the product classification module into the arbitrage bot
Deliverables: Clean and well-documented code, project reports, and data visualizations
Thank you and please let me know any question you might have Show more details...
The bot will collect data on product prices and availability from these marketplaces, use data analysis and machine learning techniques to determine the best products to buy and sell, and execute the trades automatically... using APIs or web scraping tools.
I have a dataset, scrapped using python and temporally stored to google sheets for testing, containing product information from different vendors and I need help to classify them according to brand, name, size, collection, gender, presentation, UPC, EIN, and description. However, since different vendors use different formats for the same product, some data processing and cleaning using Pandas would be required. Additionally, machine learning libraries such as scikit-learn and NLTK could be utilized for product classification.
An example of the data set is provided in the following link:
https://docs.google.com/spreadsheets/d/1jAABjD6AzxT_JNL5S-uhbPg-SvM6JAiZBzNRxAAEZ8c/edit?usp=sharing
milestones or deliverables
Milestone 1: Pre-process the data and extract relevant features
Milestone 2: Normalize the features and cluster similar products
Milestone 3: Train and evaluate machine learning models for product classification
Milestone 4: Integrate the product classification module into the arbitrage bot
Deliverables: Clean and well-documented code, project reports, and data visualizations
Thank you and please let me know any question you might have Show more details...
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