Ford Motor Private Limited

AI Engineering Manager

Ford Motor Private Limited

Chennai•On-site•5-8 Yrs•Jul 9

Job description

Overview

As the AI Engineering Manager, you will lead the design, development, deployment, and scaling of AI/ML and Generative AI solutions across SSDA within GDIA.

Qualifications

Implement scalable MLOps and LLMOps practices including CI/CD for ML, model versioning, monitoring, and automated retraining
Proficiency in Git, Docker, API-based deployments, and scalable cloud AI services
Apply strong software engineering practices within AI systems including testing, modular design, observability, and documentation
Drive research and innovation in advanced AI techniques to enhance enterprise capabilities
Support architectural reviews and ensure best practices across AI systems
Implement Responsible AI principles including governance, model explainability, fairness, and ethical AI compliance
Delivery Focus
Own end-to-end AI product delivery in partnership with Product, Engineering, and Data teams.
Ensure production-grade deployment of AI models using containerization (Docker), orchestration, and scalable cloud infrastructure.
Influence investment decisions using measurable impact metrics and ROI analysis.
Establish monitoring frameworks for model drift, performance degradation, and system reliability.
Team Development & Community Leadership
Lead and mentor AI engineers and data scientists.
Build AI engineering standards, reusable frameworks, and shared tooling across SSDA.
Promote knowledge sharing through Communities of Practice.
Foster a culture of experimentation, continuous learning, and engineering excellence.
Support talent development in emerging AI domains including GenAI and agent-based systems.
Minimum Requirements
Bachelors Degree in a related field (Data Science, Machine Learning, Computer Science, Statistics, Applied Mathematics, IT, or equivalent).
5 to 8 years of experience applying analytical methods and AI/ML solutions in enterprise environments.
5 to 8 years of experience using Python-based AI/ML technologies.
Hands-on experience with Generative AI technologies and enterprise AI deployment.
Preferred Requirements
Masters or PhD in Data Science, Machine Learning, Statistics, Applied Mathematics, or Computer Science.
Expert-level knowledge in advanced predictive analytics and AI techniques (Genetic Algorithms, Ensemble Learning, Neural Networks, NLP, Simulation, Design of Experiments).
Strong working knowledge of GCP and enterprise AI architecture patterns.
Expertise in open-source technologies such as Python, R, Spark, SQL.

Browse Jobs

Top MatchesTop Job Matches

AI Engineering Manager

Job description

Overview

Qualifications