– Lead AI Engineer (Vision AI, GenAI & Embodied AI)

Role Summary

Lead the research, design and deployment of cutting-edge AI solutions Drive innovation in Generative AI, Computer Vision, Vision-Language Models, Multimodal AI and intelligent automation while converting research into scalable enterprise products.

Key Responsibilities

·       Design and develop AI/ML models for enterprise applications.

·       Build Computer Vision, OCR, object detection, segmentation, video analytics and image understanding solutions.

·       Develop and fine-tune LLMs, Vision Language Models (VLMs) and multimodal AI systems.

·       Research emerging AI architectures including Transformers, Diffusion Models and Agentic AI.

·       Build scalable AI pipelines, APIs and production-grade AI services.

·       Optimize model accuracy, inference latency and GPU utilization.

·       Collaborate with Product, Engineering and Customer Success teams to deliver AI features.

·       Lead technical design reviews and mentor AI engineers.

·       Contribute to patents, technical publications and reusable AI frameworks.

·       Evaluate new AI tools, open-source models and research for business adoption.

Technical Skills

Python, PyTorch, TensorFlow, OpenCV, Hugging Face, LangChain, LLMs, RAG, Vision Transformers, CNNs, Diffusion Models, Docker, Kubernetes, Linux, Git, SQL/NoSQL, Vector Databases, REST APIs, AWS/Azure/Google Cloud Platform, MLOps.

Qualifications

Bachelor''s/Master''s/PhD in Computer Science, Artificial Intelligence, or related discipline with strong hands-on AI product development and research experience.

Experience

7–10+ years in AI/ML with proven expertise in Computer Vision, Generative AI and production deployment of enterprise AI solutions.

Success Metrics

·       Production-ready AI solutions delivered

·       Model accuracy and performance improvements

·       Reduced inference latency and infrastructure cost

·       Innovation, patents/publications

·       Mentoring and technical leadership

·       Customer adoption and business impact