Lead Machine Learning Engineer - Generative AI - 1584

Job Description City: Burbank, CA 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 Must Have: • 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, TensorFlow, HuggingFace, LangChain • Hands-on work with RAG pipelines, embeddings, prompt engineering, LLM fine-tuning • Experience with AWS, Azure, or GCP deployments • Experience with NoSQL, relational, and vector databases • MLOps tools: MLflow, Docker, Kubernetes Responsibilities: • 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 Qualifications: • BA/BS in Computer Science, Information Systems, or related field Nice to Have: • Experience in R&D or innovation-focused teams • Background building internal AI/ML platforms or tooling • Open-source contributions, patents, or ML publications