Director Engineering; Ai/Ml

As a Director of Engineering (AI/ML) at our company, your role will involve building and scaling AI/ML capabilities across our digital and e-commerce platforms. You should be technically proficient, hands-on, and experienced in leading teams. Here is a breakdown of your responsibilities and qualifications: **Role Overview:** You will be responsible for designing, building, and running AI/ML systems in production, collaborating closely with backend, product, and business teams. A strong understanding of Java-based microservices and cloud platforms is crucial for this role. **Key Responsibilities:** - Own the AI/ML roadmap for engineering, from solution design to production rollout. - Lead the 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, including deployment, monitoring, scaling, and cost control. - Build and mentor senior engineers and ML teams, while actively participating in key technical decisions. - Collaborate with product and business teams to translate problems into practical, scalable solutions. **Qualifications:** - B.Tech or MCA in Computer Science or a related discipline. - Minimum of 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; 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). - Proficiency in ranking and personalization, time-series modeling (forecasting, anomaly detection). - Knowledge of computer vision (image quality, menu/catalog intelligence, shelf-life). - Experience with embeddings and vector search, Real-time inference, and Tensor Flow/PyTorch. - Familiarity with GenAI models (LLMs and vision-language models) for AI assistants. - Expertise in recommendation and understanding systems, document/invoice processing, MLOps/LLMOps, and scalable AI platform engineering. **Preferred Skills:** - Strong hands-on background in Java application development and microservices. - Experience in building distributed, event-driven systems. - Good working knowledge of cloud platforms (AWS preferred). - Understanding of system reliability, performance, and observability. As a Director of Engineering (AI/ML) at our company, your role will involve building and scaling AI/ML capabilities across our digital and e-commerce platforms. You should be technically proficient, hands-on, and experienced in leading teams. Here is a breakdown of your responsibilities and qualifications: **Role Overview:** You will be responsible for designing, building, and running AI/ML systems in production, collaborating closely with backend, product, and business teams. A strong understanding of Java-based microservices and cloud platforms is crucial for this role. **Key Responsibilities:** - Own the AI/ML roadmap for engineering, from solution design to production rollout. - Lead the 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, including deployment, monitoring, scaling, and cost control. - Build and mentor senior engineers and ML teams, while actively participating in key technical decisions. - Collaborate with product and business teams to translate problems into practical, scalable solutions. **Qualifications:** - B.Tech or MCA in Computer Science or a related discipline. - Minimum of 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; 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). - Proficiency in ranking and personalization, time-series modeling (forecasting, anomaly detection). - Knowledge of computer vision (image quality, menu/catalog intelligence, shelf-life). - Experience with embeddings and vector search, Real-time inference, and Tensor Flow/PyTorch. - Familiarity with GenAI models (LLMs and vision-language models) for AI assistants. - Expertise in recommendation and understanding systems, document/invoice processing, MLOps/LLMOps, and scalable AI platform engineering. **Preferred Skills:** - Strong hands-on background in Java application development and microservices. - Experience in building distributed, event-driven systems. - Good working knowledge of cloud platforms (AWS preferred). - Understanding of system reliability, performance, and observability.