Senior Data Scientist

About Talentica Software :

Talentica Software is a product engineering company started by IITB alumni. It is a privately held company. Talenticas focus is to help build products for startups. Over the last 23 years, the company has worked with over 200+ US based startups, ensuring successful exits for many of them.

What makes Talentica different?

• Quality of people All engineers are graduates from top colleges - IITs, NITs and IISC.

• Product DNA Focus on achieving product outcomes through innovation and technology.

• Technical expertise Focus on cutting edge technologies, cloud, AI / ML and Blockchain.

Data Science Team :

The data science team works closely with the product engineering teams to enable product features and solve problems using Machine Learning and AI. The team has deployed over 50+ ML solutions in production till date in the areas of Predictive analytics, time series forecasting, NLP, Virtual assistants, object detection etc. using both Classical and Deep learning techniques.

Role & Key responsibilities :

• Identify features in products that can be enabled using AI and ML, own the solution 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.

• Showcase ML expertise through thought leadership articles and show and tell - POCs.

• Lead a small team of data scientists.

• Build a culture of merit in the team.

Desired Skills and Experience : Must Have :

• 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 Agentic AI, including AI agents, LLMs, tool/function calling, and agentic workflows.

• Capability of converting a PoC to production quality code and subsequently deploy.

• Good 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.

Experience :

• Should have worked in the industry for at least 6-8 years.

• Should be capable of conceiving original ideas and coding them as working algorithms.

• Should have worked on 2 problems from definition to deployment.