What you’ll do?

- Identify product features that can be enabled using AI/ML and own the journey from design to production deployment.
- Work closely with the engineering manager for estimation, integration and production deployment.
- Identify new techniques that would benefit customers and ensure that some of them are adopted.
- Explore, design, and implement Agentic AI solutions using LLMs, AI agents, tool/function calling, and multi-step workflows to solve complex business problems and enhance product capabilities.
- Showcase ML expertise through thought leadership articles and show and tell - POC’s
- Lead a small team of data scientists.
- Build a culture of merit in the team.

To be successful in this role, you should have:

Qualification:

- M.Tech from IIT (CS) or B.Tech/B.E from IIT/NIT.

Experience:
- Should have worked in the industry for at least 6-10 years.
- Should be capable of conceiving original ideas and coding them as working algorithms.
- Should have worked on 2 problems from definition to deployment.

Skills:




- Solved problems using Machine Learning in at least one area – NLP, CV or Predictive Analytics.
- Excellent programming skills and must be able to implement complex algorithms in Python
- Extensive understanding of ML and statistical algorithms
- Hands-on experience with use of standard machine learning libraries such as OpenCV, Tensorflow, Keras etc.
- Hands-on experience with Generative AI and Agentic AI, including LLMs, AI agents, prompt engineering, tool/function calling, and agentic workflows.
- Capability of converting a PoC to production quality code and subsequently deploy
- Valuable communication skills both Oral and Written
- Mentored or led a small team of ML engineers.

Nice to Have
- Bigdata experience
- Credited courses focused on linear algebra, stochastic models, pattern recognition, design and analysis of algorithms, machine learning
- Should be capable of converting theory to practice by reading relevant papers.

📌 Senior Data Scientist (Pune)
🏢 Talentica Software
📍 Pune