Machine Learning Engineer

Machine Learning Engineer (ML Engineer)

Day 1 Onsite Sunnyvale, CA / Austin, TX (Prefer only local folks)

Hybrid – 3 days onsite and 2 days remote (Mandatory)

Long term contract

Direct client opportunity

No mid layer / No Implementation partners are Involved

Roles and Responsibility:

- 4+ years of experience in ML/NLP with a focus on large language models and text data with Bachelor's or Master's degree in Computer Science, Machine Learning, Artificial Intelligence, or a related field.

- Experience with prompt engineering, retrieval-augmented generation (RAG), and vector databases (e.g., Pinecone, FAISS).

- Strong programming skills in Python, including popular ML/NLP libraries (e.g., Hugging Face Transformers, PyTorch,

LangChain).

- Experience with LLM customization and fine-tuning (e.g., on GPT, LLAMA, Mistral, Mixtral) and Hands-on experience with Ollama or similar tools for local/custom model deployment.

- Proven ability to optimize model performance for production environments.

- Solid understanding of REST APIs, application development, and software engineering best practices.

Required Skills:-

Rest API – Is required – 2-5 Years

Jupyter – Is required – 2-5 Years

Python – Is required – 2-5 Years

PyTorch – Is required – 2-5 Years

Machine Learning – Is required – 2-5 Years

Education

B.S. Computer Science / Information Technology / Computer Engineering

Pay Range: $60/hr - $65/hr

The specific compensation for this position will be determined by a number of factors, including the scope, complexity and location of the role as well as the cost of labor in the market; the skills, education, training, credentials and experience of the candidate; and other conditions of employment. Our full-time consultants have access to benefits including medical, dental, and vision as well as 401K contributions.