Data Scientist

About Tavant :

With 25+ years of experience building innovative digital products and solutions, Tavant provides impactful results to its customers. It has been the frontrunner in driving digital innovation and tech-enabled transformation across a wide range of industries such as Consumer Lending, Manufacturing, Agtech, Media & Entertainment, and Retail in North America, Europe, and Asia-Pacific. Powered by Artificial Intelligence and Machine Learning algorithms, we help our customers improve their operational efficiency, productivity, speed, and accuracy. Our suite of products and solutions are routinely rated high by the industry.

Ours is a challenging workplace where teams are diverse, competitive, and continually searching for tomorrow's technology and brilliant minds to create it. And we don’t focus just on what we do – we also care how we do it. So, bring your talent and ambition to make a difference. We’ll create a world of opportunities for you.

Job Title : Gen AI Engineer or Data scientist

Experience : 8-15 years

Work Location : Bangalore / Hyderabad / Noida / Kolkata / Pune

Work mode : Hybrid (3 days WFO)

Job Description :

We are hiring a Gen AI Engineer with 3+ years of experience to contribute to cutting-edge projects in Generative AI, search and recommendation systems, and agentic AI. In this role, you’ll collaborate on designing scalable AI solutions, support the development of innovative features, and work closely with cross-functional teams to implement and optimize models. You’ll play a key role in shaping technical direction while continuing to grow your expertise in a dynamic and fast-paced environment.

Responsibilities :

• D esign and develop advanced generative models / large language models
• Collaborate with other teams to integrate AI solutions into our marketing platform
• Manage the project lifecycle from research and development to deployment and optimization.
• Stay updated on and contribute to the latest advancements in AI research, applying new findings to ongoing projects.
• Ensure ethical AI development practices, prioritizing fairness, transparency, and privacy.

Qualifications and Education :