Senior Manager Data Science

Job Description

As a Senior Manager Data Science & AI, you will be responsible for leading advanced analytics and AI/ML initiatives, including next-generation technologies like Generative AI and Agentic AI. Your role will involve managing data science teams, driving innovation in machine learning model development, and operationalizing AI solutions to deliver measurable business value.**Key Responsibilities:**- Lead, mentor, and scale a team of data scientists, ML engineers, and AI researchers focusing on predictive analytics, generative AI models, and agentic AI systems.- Define the AI/ML strategy aligned with business goals and emerging technology trends, including GenAI and agentic AI capabilities.- Oversee the full ML lifecycle including problem formulation, data acquisition, feature engineering, model development, validation, deployment, and monitoring.- Drive research and development of advanced AI models such as generative models (e.g., GPT, diffusion models), reinforcement learning agents, and autonomous AI systems.- Collaborate with product, engineering, and data engineering teams to integrate AI/ML solutions into scalable production environments.- Implement best practices for MLOps, model governance, explainability, and ethical AI.- Evaluate and adopt state-of-the-art AI technologies, frameworks, and tools such as TensorFlow, PyTorch, Hugging Face, LangChain.- Champion the use of generative AI for content generation, code synthesis, conversational agents, and decision automation.- Manage cross-functional projects and collaborate with stakeholders to prioritize AI initiatives based on business impact.- Stay updated on industry research and contribute to AI community engagement, publications, or conferences as appropriate.**Qualifications:**- Technical Expertise in Data Science, Machine Learning, Artificial Intelligence- Experience: 12 to 15 years- Job Location: Bhubaneswar & KolkataThis job offers a challenging opportunity to lead cutting-edge AI initiatives and drive innovation in the field of data science and machine learning. As a Senior Manager Data Science & AI, you will be responsible for leading advanced analytics and AI/ML initiatives, including next-generation technologies like Generative AI and Agentic AI. Your role will involve managing data science teams, driving innovation in machine learning model development, and operationalizing AI solutions to deliver measurable business value.**Key Responsibilities:**- Lead, mentor, and scale a team of data scientists, ML engineers, and AI researchers focusing on predictive analytics, generative AI models, and agentic AI systems.- Define the AI/ML strategy aligned with business goals and emerging technology trends, including GenAI and agentic AI capabilities.- Oversee the full ML lifecycle including problem formulation, data acquisition, feature engineering, model development, validation, deployment, and monitoring.- Drive research and development of advanced AI models such as generative models (e.g., GPT, diffusion models), reinforcement learning agents, and autonomous AI systems.- Collaborate with product, engineering, and data engineering teams to integrate AI/ML solutions into scalable production environments.- Implement best practices for MLOps, model governance, explainability, and ethical AI.- Evaluate and adopt state-of-the-art AI technologies, frameworks, and tools such as TensorFlow, PyTorch, Hugging Face, LangChain.- Champion the use of generative AI for content generation, code synthesis, conversational agents, and decision automation.- Manage cross-functional projects and collaborate with stakeholders to prioritize AI initiatives based on business impact.- Stay updated on industry research and contribute to AI community engagement, publications, or conferences as appropriate.**Qualifications:**- Technical Expertise in Data Science, Machine Learning, Artificial Intelligence- Experience: 12 to 15 years- Job Location: Bhubaneswar & KolkataThis job offers a challenging opportunity to lead cutting-edge AI initiatives and drive innovation in the field of data science and machine learning.

Keyskills :
Data SciencePredictive AnalyticsModel DevelopmentGenerative AIAgentic AIMLOpsTensorFlowPyTorchHugging Face