Machine Learning Engineer

About the role

ML Engineer (AgenticAI, GenAI)

Open for W2 and C2C arrangements

Day 1 Onsite Cupertino, CA (Client prefers only local folks)

Hybrid – 3 days onsite / week (Every Tuesday, Wednesday, Thursday is onsite, and Monday, Friday is Remote)

Long term contract

Direct Client Opportunity

No mid layer / No Implementation partners are Involved

Mode of Interview: Mostly 1 round virtual

Minimum 8-12 Years strong background exp needed.

In addition to the development of the software, and corresponding artifacts, the scope must include participation and support of reviews with client internal groups, testing at various stages of the project, and production cutover and warranty support.

Additional Comments

Must have experience in GenAI such LLM fine-tune and Agentic AI.

Skill sets

Data Engineering - 5-10 Years

Data Science - 5-10 Years

Deep Learning - 5-10 Years

Analytic Thinking - 5-10 Years

Agentic AI – At least 2-4 years

Gen AI - 5-10 Years

LLM fine-tuning – At least 2-4 years

Multi Agent – At least 2-4 Years

Machine Learning – 5-10 Years

Python – 5-10 Years

AWS – At least 2-4 Years

Communications skills – 5-10 Years

Creative Thinking – Nice to have

Agile Scrum – At least 1 year

Pay Range: $65/hr - $70/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.