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This is a W2 Contract Role, No Third party candidates, No Sponsorship is available now or in the future
We are seeking a knowledgeable Senior Python/ML Operations Engineer with advanced Python and Flask, Large Language Models, Open API engineering, Containerization and Swagger expertise for a multi-year engagement to work with a foremost Healthcare IT Solutions Group in their Innovations Project Team.
REMOTE !
Prerequisites For The Selection Of The Consultant Encompass
Advanced Python programming for back-end development for Machine Learning Operations.
Expertise with OpenAPI specs.
Conversant with LLMs, specifically Llama 2 or Mistral.
Required to productionize Large Language Model (LLM) based solutions.
Capable of taking an open-source Large Language Model (LLM) and fine tuning it to reflect custom data and retrieve data from a Vector database.
Will be required to design a RESTful API that interfaces with a Large Language Model (LLM) and can be used for user consumption.
Write Helm charts and the web front end.
Must be skilled in modularizing machine learning code.
Will transform Data Scientists' models into scalable, maintainable systems.
Integrate the APIs with MongoDB (Reddis, Vector, databases, embedding models).
Should have expertise in deploying and managing containerized applications using Kubernetes.
Ability to take an open-source hugging face model and productionalize it so that user can use it on custom data.
Plan the builds with Swagger CodeGen, Editor and Inspector.
Experience with Jupyter notebooks, Flask, FastAPI, and on premises Docker and Kubernetes.
Angular and Node are also utilized in this environment.
Document plan and steps for development.
Background Check :Yes
Seniority level
Mid-Senior level
Employment type
Contract
Job function
Engineering and Information Technology
Industries
Staffing and Recruiting
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