What are the responsibilities and job description for the Lead Machine Learning Engineer - Generative AI - 1584 position at aKube Inc?
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
Salary : $104