AI/ML Engineer – Data Scientist

About the Role The AI/ML Engineer – Data Scientist is responsible for designing, developing, and deploying machine learning models, data pipelines, and intelligent AI agents that generate measurable business value across CNH Industrial. This role bridges classical data science with modern generative and agentic AI, enabling autonomous systems to plan, reason, and act on behalf of the business. The role covers the full lifecycle of AI/ML solutions, from problem framing and data exploration, through model development and MLOps, to the design of multi-step AI agents that integrate with enterprise systems and execute complex tasks with minimal human intervention. Leveraging a strong foundation in statistics and software engineering, the senior holder of this role brings the maturity to mentor junior colleagues, contribute to the AI Center of Excellence, and drive responsible AI adoption aligned with CNH’s digital transformation strategy. Collaboration happens within Agile/DevOps frameworks, using industry-leading MLOps tooling and cloud platforms. Delivering production ML models for forecasting and optimization will directly reduce inventory costs and improve Supply Chain efficiency across AG and CE segments. Agentic AI workflows will automate complex, multi-step manual processes, compressing cycle times and freeing human capacity for higher-value work. Responsible, well-documented AI solutions will strengthen CNH’s data governance posture and accelerate enterprise adoption of AI at scale. What You'll Do

• 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-driven action.
• Collaborate within Agile/DevOps frameworks, leveraging cloud platforms and industry-leading MLOps tooling.
• Mentor junior colleagues, contribute to the AI Center of Excellence, and drive responsible AI adoption.
• Deliver production ML models to reduce inventory costs and improve Supply Chain efficiency across AG and CE segments.
• Ensure well-documented AI solutions that strengthen CNH’s data governance posture and accelerate enterprise adoption of AI at scale. What We're Looking For
• Strong foundation in statistics and software engineering.
• Experience designing, developing, and deploying ML/AI solutions across the full lifecycle, from problem framing and data exploration to production deployment.
• Experience with Databricks and Azure ML.
• Experience designing agentic AI workflows with multi-step reasoning, tool use, memory, and goal-driven execution.
• Ability to mentor junior colleagues and contribute to the AI Center of Excellence.
• Familiarity with Agile/DevOps, MLOps tooling, and cloud platforms.