Director – Engineering (AI/ML)

We are looking for a senior engineering leader who can build and scale AI/ML capabilities across our digital and e-commerce platforms. This role requires someone who is technically strong, hands-on, and experienced in leading teams, not just setting strategy.

About the Role

You will be responsible for designing, building, and running AI/ML systems in production, working closely with backend, product, and business teams. A solid understanding of Java-based microservices and cloud platforms is essential.

Responsibilities

• Own the AI/ML roadmap for engineering, from solution design to production rollout.
• Lead development of AI/ML and GenAI solutions integrated with core platforms.
• Design and review microservice architectures for high-traffic systems.
• Ensure ML models are production-ready and reliable (deployment, monitoring, scaling, cost control).
• Build and mentor senior engineers and ML teams, while staying involved in key technical decisions.
• Work closely with product and business teams to convert problems into practical, scalable solutions.

Qualifications

• B.Tech or MCA in Computer Science or a related discipline.
• 16+ years of overall software engineering experience.
• At least 6 years in senior leadership roles managing engineers and architects.
• Proven track record of delivering AI/ML systems at scale.
• Experience in e-commerce, food-tech, or large consumer platforms is a plus.

Required Skills

• Hands-on experience with Machine learning and deep learning (neural networks, gradient boosting).
• Ranking and personalization, time-series modeling (forecasting, anomaly detection).
• Computer vision (image quality, menu/catalog intelligence, shelf-life).
• Embeddings and vector search, Real-time inference, and TensorFlow/PyTorch.
• Experience with GenAI models (LLMs and vision-language models) for AI assistants.
• Recommendation and understanding systems, document/invoice processing, along with MLOps / LLMOps and scalable AI platform engineering.

Preferred Skills

• Strong hands-on background in Java application development and microservices.
• Experience building distributed, event-driven systems.
• Good working knowledge of cloud platforms (AWS preferred).
• Understanding of system reliability, performance, and observability.