Lead Machine Learning Engineer
Contract hands-on AI Engineer at Principal/Staff level to bootstrap an AI team to deliver an AI capability.
- Reporting to VP Engineering
- Lead design, architecture, and delivery of advanced AI/ML and generative AI solutions, ensuring scalable, secure, and production-ready system.
- Expert in MCP and RAG patterns
- Design and build robust data and ingestion pipelines, integrate vector databases, and RSG.
- Expert-level proficiency in Python and key ML libraries (Langchain, Semantic Kernel, PyTorch, TensorFlow)
- Hands-on experience with cloud platforms (Azure, AWS) and infrastructure-as-code (Terraform, ECS)
- Strong background in deploying models via APIs, containers, or cloud-native services
- Proven track record delivering production-grade AI solutions in complex, data-rich environments
- Skilled in setting team engineering practices: Git, CI/CD, automated testing for ML code, code reviews, and documentation.
- Lead tech enablement and mentor engineers, fostering culture of reliability, continuous improvement, and collaboration.
- Excellent communication skills, able to translate technical strategy into business outcomes and work across team.
- Minimum 7 years’ professional experience in AI, ML, or applied machine learning engineering roles.