AI/ML Engineer

About the role

As an AI/ML Engineer within Ford Credit Services (USA01 - USA Automotive), you will join a high-performing team building end-to-end AI/ML applications, including Generative AI and Agentic AI systems. Day-to-day work involves developing ML platforms for Data Scientists, designing and deploying scalable ML and GenAI solutions using Vertex AI, performing DevOps/MLOps, and collaborating with Data Science, Data/ML Engineering architects, and program managers. The role is based in Chennai, Tamil Nadu, India and follows a Hybrid work model.

What you’ll do

• Develop ML Platform to empower Data Scientists to perform end-to-end ML Ops
• Work actively and collaborate with Data Science teams within Credit IT to design and develop end-to-end Machine Learning systems
• Lead evaluation of design options, tools, and utilities to build implementation patterns for MLOps using VertexAI in the most optimal ways
• Create solutions and perform hands-on PoCs
• Develop end-to-end and scalable Generative AI solutions
• Work with Suppliers, Google Professional Services, and other Consultants as required
• Collaborate with program managers to plan iterations, backlogs, and dependencies across all workstreams
• Collaborate with Data/ML Engineering architects, SMEs, and technical leads to establish best practices for data products needed for model training and monitoring considering regulatory policy and lega

What you’ll bring

• Bachelor's degree in computer science or a related field
• 8+ years of relevant work experience in solution, application, and ML engineering, DevOps with deep understanding of cloud hosting concepts and implementations
• Proven expertise with Vertex AI
• Very strong programming skills in Python
• Knowledge of SQL (Relational & Non-relational)
• 5+ years of hands-on experience in Analytics, MLOps, and Engineering Solutions for ML-based models
• Strong in containerization using Docker/Podman
• Strong understanding of DevOps principles and practices, including CI/CD, automated testing & deployment pipelines

Nice to have

• Bachelor's degree in computer science or a related field
• 8+ years of relevant work experience in solution, application, and ML engineering, DevOps with deep understanding of cloud hosting concepts and implementations
• Proven expertise with Vertex AI
• Very strong programming skills in Python
• Knowledge of SQL (Relational & Non-relational)
• 5+ years of hands-on experience in Analytics, MLOps, and Engineering Solutions for ML-based models
• Strong in containerization using Docker/Podman
• Strong understanding of DevOps principles and practices, including CI/CD, automated testing & deployment pipelines

Skills

Education

Bachelor's Degree or equivalent