Senior Machine Learning Engineer GenAI & Production ML Systems
Core
Designing and deploying production-grade Machine Learning and Generative AI systems for complex engineering and supply chain domains, transforming unstructured documents into actionable data.
Role type
Senior Machine Learning Engineer (GenAI & Production ML)
Builds
Production ML pipelines, RAG systems, semantic search solutions, and predictive models for supply chain intelligence.
Domain
Engineering and Supply Chain
Deliverable
production ML models
Required skills
Python, PyTorch, TensorFlow, scikit-learn, Pandas, NumPy, Transformer architectures, LLMs (GPT, BERT, Llama), Hugging Face, LangChain, RAG architectures, Prompt engineering, Predictive modeling, Anomaly detection, Forecasting, MLOps, Docker, Kubernetes, MLflow, SQL
Preferred skills
Supply chain domain knowledge, Secure/on-premise AI deployment, Optimization algorithms, Explainable AI, Agile delivery
Technologies
Microsoft Azure, Docker, Kubernetes, MLflow, Hugging Face, LangChain
Responsibilities
Design and develop production-grade ML and GenAI solutions; Build and optimize NLP and LLM pipelines; Develop RAG systems and semantic search; Create predictive models for forecasting and risk scoring; Implement prompt engineering strategies; Design and maintain automated ML pipelines; Deploy and monitor models in production; Optimize inference performance; Build data preprocessing pipelines.
Seniority
Senior, hands-on IC