Manager, AI Engineering (India)

Manager, AI Engineering (India)

16 Aug
|
Ford Global
|
India

16 Aug

Ford Global

India

You will be responsible for defining and governing AI project lifecycles — from data acquisition and experimentation to production deployment, monitoring, and continuous optimization. You will lead AI engineers and data scientists, establish best practices, and drive enterprise-grade AI adoption using up-to-date MLOps and LLMOps principles.
This role requires strong collaboration with business stakeholders, product leaders, engineering teams, and enterprise architects to ensure AI investments are aligned with measurable business outcomes.

Strategic Thinking & Leadership
- Partner with business leaders to identify high-impact AI opportunities and translate them into scalable AI/ML solutions.
- Define and communicate AI product vision, roadmaps, and measurable success metrics.
- Drive AI strategy across predictive analytics, Generative AI, and intelligent automation initiatives.
- Establish governance frameworks for Responsible AI, model explainability, fairness, and compliance.




- Lead cross-functional AI programs and influence executive stakeholders through compelling insights and presentations.

Technical Leadership & Expertise
- Architect and oversee end-to-end AI/ML and GenAI systems, including:
- Predictive analytics models
- Deep Learning and Neural Networks
- NLP and computer vision solutions
- Retrieval-Augmented Generation (RAG) systems
- Agentic AI frameworks and multi-agent orchestration systems
- Strong proficiency in Google Cloud Platform (GCP) services for AI/ML (Vertex AI, BigQuery, Dataflow, Cloud Storage)
- Deep expertise in machine learning algorithms including ensemble methods, neural networks, regression models, simulation and optimization techniques, NLP, and image processing
- Experience building AI systems using TensorFlow, PyTorch, Keras, and Python-based ecosystems
- Experience with LLMs, foundation models, prompt engineering, fine-tuning, and evaluation pipelines
- Implement scalable MLOps and LLMOps practices including CI/CD for ML, model versi

📌 Manager, AI Engineering (India)
🏢 Ford Global
📍 India

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