Python Developer

If Client selects the Consultants I''ll submit to them, the consultants need to be available to interview onsite in Fremont, CA.

***Only Local Candidates to the SF Bay Area will be considered (no relocation)****

Do not submit candidates from Banking/Financial Services industries, I will have to reject them. Client prefers candidates from Software Development, Automotive, Insurance, Manufacturing, Semi Conductor, eCommerce, etc...

• Duration: 6-month contract
• Location: Onsite Fremont, CA
• Company: Automotive
• Open Position: 2
• NO RELOCATION - MUST BE LOCAL - Interviews are onsite Candidates must bring their laptops for two rounds of interview, including a 45-minute coding review and a 45-minute ''collaboration interview"

TECHNICAL REQUIREMENTS:
Tech Stack:      Python.
Framework:      FastAPI.
Architecture:     REST APIs; Microservices.

EXPERIENCE EXPECTATIONS:
Year of Experience: P2 - Mid-Level | 3-5 years exp
Requirements: In-depth expertise in Python for high-performance, data-intensive applications, PyTorch, Worked on RAG models

KEY RESPONSIBILITIES:
• Design, develop, and implement machine learning models using supervised learning techniques for design support and implementation
• Collaborate with vehicle service and energy service and software teams
• Take ownership of production models ensuring robust alerting systems for
• Work with diverse, heterogeneous datasets (text, voice, images, tabular data) to scale
• Translate ambiguous problem statements into actionable, end-to-end machine
• Follow agile development practices and maintain high standards for clean, modular, and sustainable code

REQUIREMENTS:
• 3-5 years in-depth expertise in Python for high-performance, data-intensive applications
• Proficiency with at least one modern deep learning framework (e.g., PyTorch, JAX, TensorFlow)
• Specialized knowledge in such areas as large language models, recommender
• Strong foundational understanding of statistics for model comparison and
• Real-world experience deploying and maintaining production machine learning
• Passion for writing clean, modular, and sustainable code to transition research
• Degree in Computer Science, Data Science, or equivalent experience.