AI / ML Engineer
cnh
Job Description
- Design, build, and deploy end-to-end ML/AI solutions for key business use cases including demand forecasting, anomaly detection, predictive maintenance, NLP, and process optimization.
- Develop and maintain robust data pipelines for feature engineering, model training, evaluation, and production inference, using platforms such as Databricks and Azure ML.
- Design and implement agentic AI systems: autonomous agents capable of multi-step reasoning, tool use, memory, and goal-directed behavior using frameworks such as the Anthropic Claude Agent SDK, LangChain, LangGraph, AutoGen, or equivalent.
- Integrate AI agents with enterprise tools, databases, APIs, and services via MCP (Model Context Protocol) servers, function calling, and REST interfaces – enabling agents to take real actions within business workflows.
- Apply MLOps best practices: model versioning and registry (MLflow), CI/CD for ML pipelines, drift detection, A/B testing, and performance monitoring in production.
- Collaborate with business stakeholders to frame problems, define success metrics, and translate requirements into scalable AI/data solutions.
- Ensure responsible AI: model explainability, fairness and bias auditing, data privacy compliance, and alignment with CNH governance standards.
- Conduct code and model reviews; contribute to shared libraries, best practices, and the CNH AI Center of Excellence.
- Maintain comprehensive technical documentation including data dictionaries, model cards, agent architecture diagrams, and operational runbooks.