Auriga - Lead Engineer - Computer Vision
4 days ago
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 6 to 10 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.
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