Experience:

• 8+ years in AI/ML development
• 2+ years in team leadership or technical lead role
• 8-12 yrs

Qualification:

• PhD / Master’s in Computer Science, AI, Data Science, or related field

Role Focus:

• Technical Leadership: Lead the end-to-end development of AI solutions
• LLM & Generative AI Systems: Design and deploy LLM-based applications
• Computer Vision & Multimodal AI: Develop and deploy computer vision models
• Data Engineering & Model Training: Handle large-scale datasets
• System Architecture & Deployment: Build scalable backend systems
• Product Development & Innovation: Collaborate with product and business teams
• Team Leadership & Mentorship: Lead and mentor a team of AI engineers, data scientists, and interns
• Research & Continuous Learning: Stay updated with state-of-the-art research in AI/ML

Nice to have:

• Experience in multimodal AI systems (text + image + audio)
• Knowledge of custom model training and optimization
• Exposure to edge AI / TinyML
• Experience in custom enterprise AI products
• Understanding of security, RBAC, and scalable system design
• Research publications in AI/ML
• Experience mentoring teams or conducting training programs
• Contributions to open-source AI projects

More skills:

Deep Learning (PyTorch / TensorFlow), NLP & LLMs, Classification, regression, and anomaly detection, LLM & GenAI, Transformers, Hugging Face ecosystem, Fine-tuning and prompt engineering, C++, PyTorch, Transformers, Scikit-learn, FastAPI / Flask, Docker, Git, SQL / PostgreSQL / MySQL, Redis, vector DBs (FAISS), Cloud platforms (AWS/GCP/Azure)

Other:

• Opportunity to work on cutting-edge AI technologies
• High-impact role influencing product direction
• Collaborative and innovation-driven environment
• Access to real-world large-scale datasets and problems