Lead Machine Learning Engineer – Generative AI
aKUBE
contract
Posted on:
Location Type: Hybrid
Location: Burbank • California • United States
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Salary
💰 $104 per hour
Job Level
About the role
- 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
Requirements
- 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
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
GenAILLMsPythonPyTorchTensorFlowHuggingFaceLangChainRAG pipelinesMLOpsprompt engineering
Soft Skills
collaborationcommunicationtechnical decision-makingexperiment designbenchmarkingmodel evaluation