Lead - AI/ML Engineer
Core
Design, implement, and govern enterprise AI & ML solutions that drive measurable business value while managing organizational risk.
Role type
Lead AI/ML Engineer (Strategic & Hands-on)
Builds
Enterprise agentic AI frameworks, production-grade ML models, generative AI applications, and MLOps pipelines.
Domain
Enterprise AI/ML, Manufacturing, Electrical Solutions
Deliverable
production ML models | product features | infrastructure
Required skills
Python, TensorFlow, PyTorch, Scikit-learn, Large Language Models, Prompt Engineering, RAG, Fine-tuning, LangChain, LlamaIndex, Streamlit, Gradio, FastAPI, AWS SageMaker, AWS Lambda, AWS Bedrock, AWS S3, Snowflake, Vector Databases, MLOps, CI/CD, Containerization
Preferred skills
Master's degree in CS/AI/ML, Experience with classical ML algorithms, Experience with NLP and Computer Vision, Experience with MCP servers
Technologies
Snowflake, AWS (SageMaker, Lambda, Bedrock, S3), LangChain, LlamaIndex, Streamlit, Gradio, FastAPI, TensorFlow, PyTorch, Scikit-learn
Responsibilities
Guide enterprise agentic AI framework and define integration patterns; Build, train, validate, and deploy machine learning models; Implement generative AI solutions leveraging LLMs; Establish MLOps practices including model versioning and monitoring; Work within centralized Snowflake data platform to prepare data and build pipelines; Follow NIST AI Risk Management Framework principles and document model architecture for governance.
Seniority
Lead, strategic leadership with hands-on technical execution