Lead Machine Learning Engineer - Generative AI

Onsite/ Hybrid/ Remote: Hybrid (2 days onsite per week, no flexibility)

Duration: 8 Months

Rate Range: Upto $103.50/hr on W2

Work Authorization: GC, USC, All valid EADs except OPT, CPT, H1

• 6+ years in software engineering or ML/AI engineering
• 2+ years hands-on with GenAI, LLMs, or advanced ML platforms
• Python expertise and production ML system development
• Experience with PyTorch, Tensor Flow, Hugging Face, Lang Chain
• Hands-on work with RAG pipelines, embeddings, prompt engineering, LLM fine-tuning
• Experience with AWS, Azure, or GCP deployments
• Experience with No
  
  SQL, relational, and vector databases

• Design and build GenAI and LLM-based prototypes and MLPs
• Develop chatbots, copilots, summarization, and automation workflows
• Implement and evaluate RAG, embeddings, and LLM techniques
• Build PoCs using modern ML frameworks and cloud-native tools
• Support experiment design, benchmarking, and model evaluation
• Collaborate with product, data, and engineering teams
• Contribute to architecture discussions and technical decisions
• Apply MLOps best practices and support documentation and demos

• BA/BS in Computer Science, Information Systems, or related field

• Experience in R&D or innovation-focused teams
• Background building internal AI/ML platforms or tooling
• Open-source contributions, patents, or ML publications