Manager - Data Science

You will be responsible for hands-on AI & ML Development. Your key responsibilities will include: - Building, training, and deploying ML models from classical techniques (Classification, Regression, Forecasting) to advanced deep learning, LLMs, and Generative AI. - Performing feature engineering, statistical analysis, and model tuning to enhance predictive capabilities. - Working with big data tools (Hadoop, PySpark, Hive) to process large datasets efficiently. - Developing AI-driven solutions tailored for industries like Retail, CPG, BFSI, Healthcare, and eCommerce. - Optimizing and automating machine learning pipelines for scalable deployment. You will be involved in end-to-end AI/ML Deployment. Your tasks will include: - Owning the full ML lifecycle, from development to deployment and monitoring. - Collaborating with Data Engineering teams to build production-ready ML pipelines. - Working with cloud platforms such as Azure, AWS, GCP, or Databricks for model deployment and monitoring. - Designing and implementing A/B testing strategies to measure model impact. In terms of Project Execution & Delivery, you will: - Drive multiple AI/ML initiatives from concept to execution, ensuring quality and timely delivery. - Partner with cross-functional teams (Product, Data Engineering, Business) to translate business problems into scalable AI solutions. - Own project roadmaps, track milestones, and ensure stakeholder alignment. - Communicate AI/ML concepts effectively to both technical and non-technical stakeholders. Regarding Leadership & Team Growth, you will: - Lead by example, mentor, and guide a high-performance team of data scientists. - Set technical direction, review code, and establish best practices in AI/ML development. - Foster a culture of continuous learning, innovation, and hands-on problem-solving. - Provide career development guidance and help team members achieve technical excellence. Qualifications required for this role include: - 8+ years of hands-on experience in Data Science & AI, with strong expertise in ML, Python, and SQL. - Exposure to Generative AI: Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities. - Deep understanding of ML algorithms, including NLP, LLMs, forecasting, and optimization techniques. - Proven track record of building and deploying machine learning models in production environments. - Expertise in at least one cloud platform: AWS, Azure, GCP, or Databricks. - Strong grasp of statistics, probability, and causal inference. - Ability to break down complex AI concepts for business stakeholders. - Experience with big data tools (Hadoop, Hive, PySpark) and ML workflow automation. - Bonus: Experience with Google Analytics, Adobe Analytics, or digital marketing analytics. You will be responsible for hands-on AI & ML Development. Your key responsibilities will include: - Building, training, and deploying ML models from classical techniques (Classification, Regression, Forecasting) to advanced deep learning, LLMs, and Generative AI. - Performing feature engineering, statistical analysis, and model tuning to enhance predictive capabilities. - Working with big data tools (Hadoop, PySpark, Hive) to process large datasets efficiently. - Developing AI-driven solutions tailored for industries like Retail, CPG, BFSI, Healthcare, and eCommerce. - Optimizing and automating machine learning pipelines for scalable deployment. You will be involved in end-to-end AI/ML Deployment. Your tasks will include: - Owning the full ML lifecycle, from development to deployment and monitoring. - Collaborating with Data Engineering teams to build production-ready ML pipelines. - Working with cloud platforms such as Azure, AWS, GCP, or Databricks for model deployment and monitoring. - Designing and implementing A/B testing strategies to measure model impact. In terms of Project Execution & Delivery, you will: - Drive multiple AI/ML initiatives from concept to execution, ensuring quality and timely delivery. - Partner with cross-functional teams (Product, Data Engineering, Business) to translate business problems into scalable AI solutions. - Own project roadmaps, track milestones, and ensure stakeholder alignment. - Communicate AI/ML concepts effectively to both technical and non-technical stakeholders. Regarding Leadership & Team Growth, you will: - Lead by example, mentor, and guide a high-performance team of data scientists. - Set technical direction, review code, and establish best practices in AI/ML development. - Foster a culture of continuous learning, innovation, and hands-on problem-solving. - Provide career development guidance and help team members achieve technical excellence. Qualifications required for this role include: - 8+ years of hands-on experience in Data Science & AI, with strong expertise in ML, Python, and SQL. - Exposure to Generative AI: Should have worked on at least a few POCs or pilot projects leveraging Gen AI capabilities.