Location
San Francisco, CA | United States
Job description
Cliecon Solutions Inc, (head quartered in central NJ ) is one of the fastest growing and a leading consulting and management firm with 12 years of experience in Staff Augmentation. We handle complete recruiting cycle for fortune 500 clients, major implementing partners and tier -1 vendors. We specialized in recruiting for Application development, Big data, Databases, Infrastructure, Cloud, Mobile and ERP based solutions projects.
Title: Senior ML Operations(MLoPS) Engineers
Location: San Francisco Bay Area
Length: 2+ years
Job Description:
We are seeking three knowledgeable Senior ML Operations Engineers 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.
Prerequisites for the selection of the Consultants encompass:
- Advanced Python programming for back-end development for Machine Learning Operations.
- Expertise with OpenAPI specs.
- Conversant with LLMs, specifically Llama 2 or Mistral.
- Familiarity with Prompt Engineering.
- 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.
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- Dice Id: 10363744
- Position Id: 2024-3204
Job tags
Salary
