Python Developer

W2 Candidates Only Python Developer (Machine Learning) Location: Fremont, CA (100% Onsite) Duration: 6–12 Months Contract Openings: 2 Pay Rate: Up to $50/hr on W2 Visa: H1B, OPT, EAD, H4 (All Accepted)

Important Notes

• Candidates must currently reside in the San Francisco Bay Area
• Must be available for onsite interview on short notice (within 24 hours)
• Interview Process:
• 2 Rounds (Onsite)
• 1 Technical (45 mins)
• 1 Cultural (45 mins)
• Candidates must bring their own laptop

Role OverviewWe are seeking a Mid-Level Python Developer (3–5 years experience) with strong expertise in machine learning and data-intensive applications. The ideal candidate will work on building scalable ML systems, including LLMs and RAG-based solutions, supporting Tesla’s vehicle and energy platforms.

Technical Skills Required

• Strong programming experience in Python
• Hands-on experience with FastAPI
• Solid understanding of:
• REST APIs
• Microservices Architecture
• Experience with PyTorch (preferred) or other deep learning frameworks like TensorFlow / JAX
• Experience working with RAG (Retrieval-Augmented Generation) models
• Exposure to Large Language Models (LLMs)

Key Responsibilities

• Design, develop, and deploy machine learning models using supervised learning techniques
• Build and maintain scalable APIs and microservices for ML applications
• Collaborate with cross-functional teams including vehicle service, energy, and software engineering teams
• Own and manage production ML models, including monitoring and alerting systems
• Work with diverse datasets (text, voice, images, structured data)
• Translate ambiguous business problems into end-to-end ML solutions
• Follow Agile methodologies and write clean, modular, maintainable code

Required Qualifications

• 3–5 years of experience in Python development for high-performance applications
• Hands-on experience in production-level ML model deployment
• Strong understanding of statistics and model evaluation techniques
• Experience with deep learning frameworks (PyTorch, TensorFlow, or JAX)
• Knowledge in areas such as:
• Large Language Models (LLMs)
• Recommendation Systems (plus)
• Ability to convert research concepts into production-ready systems
• Bachelor’s or Master’s degree in Computer Science, Data Science, or related field

Nice to Have

• Experience with RAG pipelines and GenAI applications
• Exposure to real-time ML systems
• Prior experience in automotive, energy, or IoT domains