- Strong foundation in mathematics: linear algebra, probability, stochastics, optimization theory
- Expertise in mathematical programming, algorithm design, and optimization techniques
- Skilled in formulating complex problems and designing scalable algorithms (e.g. linear/non-linear programming, convex optimization, combinatorial algorithms, etc.) and experience improving algorithms for efficiency and scalability
- Deep knowledge of machine learning, deep learning, and statistical modeling
- Strong in Graph Theory or Knowledge Graph related architecture and database (e.g. Neo4j, cuGraph)
- Hands-on experience with neural networks, transformers, diffusion models, or generative modeling
- Familiarity with NLP, computer vision, or domain-specific AI applications
- Proficient in model evaluation, validation, and performance metrics
- Experience with AI/ML frameworks and libraries (e.g. TensorFlow, PyTorch)




- Familiarity with software development practices (version control, testing, GPU accelerated computing)
- Solid analytical thinking and problem-solving skills
- Ability to derive insights and prove algorithmic effectiveness through rigorous logic and math
- Demonstrated creativity in tackling open-ended research and real-world AI challenges
- Clear communicator, able to translate complex ideas for technical and non-technical audiences
- Effective collaborator in cross-functional teams with researchers, engineers, and business partners
- Skilled in writing technical documentation, reports, and academic publications is a plus
- Passion for AI advancement and continuous learning
- Active interest in emerging AI research, with contributions to publications, open-source projects or conference preferred

📌 DE&A - AIML - Data Science - Conventional AI - Search (Pune)
🏢 Zensar Technologies
📍 Pune