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
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