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We are seeking a Data Scientist who will leverage statistical analysis, machine learning, and Generative AI to build impactful solutions that drive customer productivity and business outcomes. The role involves translating business problems into data-driven models, collaborating with cross-functional teams to deploy scalable solutions, and fostering innovation through new technologies and mentorship
The Director - Product Innovation & Engineering will lead the end‑to‑end ideation, design, and development of GenAI‑powered products, accelerators, and reusable assets for enterprise clients. The role drives cross‑functional engineering leadership, product roadmap ownership, partner ecosystem integration, and thought leadership to deliver scalable, market‑ready AI solutions.
The position is a senior leadership role within the Client's data science organization, responsible for driving strategic analytical solutions, nurturing a high‑performing team, and shaping the company's growth. It requires deep client engagement, problem‑solving expertise, and the ability to convert complex business challenges across multiple industries into scalable data‑driven solutions.
We are seeking a Senior Clinical Data Analytics Engineer with expertise in analytics to join our team in Mumbai Suburban. The ideal candidate will be responsible for leveraging data analytics to support clinical insights and deliver impactful solutions in the technology and telecoms industry.
The Principal Data Scientist will design, build, and optimize advanced NLP, computer vision, and LLM‑powered systems that automate permitting and regulatory workflows for a leading GovTech platform. The role combines deep technical ownership with strategic leadership, driving AI innovation that directly shapes product direction and government efficiency at scale.
The role requires 5+ years of experience in agentic AI workflows, RAG pipelines, and LLM integration, with a strong focus on production-grade systems and demonstrate end-to-end ownership, including data pipelines, model interactions, and output validation, along with experience handling large-scale datasets.
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