Machine Learning Engineer
About the role
ML Engineer
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
The response to this request must include all relevant SDLC artifacts for the project.
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
Our team is looking for a couple of experienced AI/ML engineers who have hands on experience with Generative Al especially in prompt engineering, data curation, Al agent, and domain specific model fine tuning using frameworks.
Knowledge of Transformer architecture and Generative Al concepts.
Strong knowledge and experience in prompt engineering and PEFT such as LORA/QLORA trainings on large language models is a plus.
Hands on experience with building and extending RAG, multi-agent framework such as Langchain, Llamaindex, AutoGen is a plus.
Experience with ML frameworks such as Pytorch or Tensorflow and Python data science modules.
Skills:
Problem Solving – Is required
Core Java – Nice to have
Data engineering – Is required
Data science – Is required
Data visualization – Nice to have
NumPy - Is required
Panda - Is required
PySpark - Is required
Python - Is required
PyTorch - Is required
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, vision as well as 401K contributions.
Responsibilities
- Develop software and corresponding artifacts
- Participate and support reviews with Client internal groups
- Testing at various stages of the project
- Production cutover and warranty support
Qualifications
- Hands-on experience with Generative AI, prompt engineering, and data curation
- Knowledge of Transformer architecture and Generative AI concepts
- Experience with ML frameworks such as Pytorch or Tensorflow
- Strong knowledge in problem solving, data engineering, and data science
Benefits
- Medical, dental, vision insurance
- 401K contributions
Skills mentioned
About PTR Global
PTR Global delivers strategic staffing and talent solutions that help Fortune 100 and growth-focused organizations build agile teams, accelerate growth, and access highly skilled talent with confidence. Through direct hire, contingent staffing, and sourcing solutions, we connect companies with experienced consultants ready to make an immediate impact.