Shared jobLead Engineer - AI
Jaipur · Senior
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First 72 hours
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Job description
About the Role
Key Responsibilities:
- 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).
- 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).
- 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).
- Lead and mentor a team of 8–10 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.
- 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:
- 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.
- Proven record of leading 6–10 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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