Description :

About the Role :

We are seeking a Lead Engineer with strong expertise in Computer Vision and working knowledge of Generative AI.

This role requires a hands-on leader who can take ownership of delivering end-to-end AI solutions while guiding a team of 810 engineers.

The right candidate will balance technical depth, solution delivery, and people management.

Key Responsibilities :

End-to-End AI Delivery: Drive the entire lifecycle of AI solutions requirement analysis, data preparation, model development, optimization, deployment, and monitoring in production environments.

Computer Vision Solutions :

- Develop models for object detection, recognition, tracking, OCR, and video analytics.

- Optimize models for real-time performance (GPU/edge devices such as NVIDIA Jetson).

- Ensure robustness in challenging conditions (e.g., occlusion, lighting, class imbalance).

Generative AI Applications :

- Integrate LLMs and multimodal AI for use cases like video summarization, natural language queries, automated insights, and incident reporting.

- Build practical workflows combining CV and GenAI (e.g., retrieval-augmented search across video data).

Technical Leadership :

- Provide architectural guidance for AI pipelines (data ingestion ? model inference ? post-processing ? serving).

- Establish coding standards, review best practices, and mentor junior engineers.

- Drive MLOps practices (CI/CD, model monitoring, drift detection, retraining strategies).

Team Management :

- Lead and mentor a team of 810 engineers, fostering growth and accountability.

- Collaborate with product managers and stakeholders to translate business problems into measurable AI solutions.

- Ensure timely delivery with high technical quality.

Innovation & Quality :

- Stay updated with emerging tools in CV and GenAI, evaluate applicability, and introduce best practices.

- Focus on scalability, cost optimization, and practical deployment challenges.

Required Qualifications :

- Education: B/B.Tech/MCA in Computer Science, IT, or related field.

- Experience: 510 years in AI/ML with preferably 2 years in a team lead role.

- Technical Expertise :

Computer Vision: Proficiency in frameworks like PyTorch, TensorFlow, and OpenCV.

Experience with object detection (YOLO, Faster R-CNN), segmentation, OCR, or tracking algorithms.

Generative AI: Exposure to LLM-based solutions (LangChain, RAG pipelines, or similar frameworks).

Ability to integrate GenAI into CV workflows.

Deployment & MLOps: Hands-on with APIs (FastAPI/Flask), containerization (Docker), orchestration (Kubernetes), model registries, and monitoring tools.

Performance Optimization: Familiarity with GPU acceleration (CUDA, TensorRT, ONNX Runtime) and scaling inference for production workloads.

Programming: Strong Python expertise; exposure to C++/CUDA is a plus.

Leadership Skills :

- Proven record of leading 610 member engineering teams.

- Ability to balance technical depth with delivery timelines.

- Strong communication and problem-solving skills.

Why Join Us ?

- Opportunity to lead impactful AI projects combining Computer Vision and Generative AI.

- Work with a talented engineering team in a high-growth environment.

- Exposure to cutting-edge technology while solving real-world problems at scale.