Lead Gen AI Data Scientist

Key Responsibilities - Design and optimize complex machine learning models, including regression, classification, clustering, and sequence models, to solve business challenges. - Lead the development and implementation of Generative AI applications, leveraging state-of-the-art technologies and methodologies. - Architect and deploy LLM-based applications, ensuring integration with enterprise systems and data sources. - Develop and maintain scalable machine learning pipelines for processing structured and unstructured data efficiently. - Collaborate with cross-functional teams to define AI features and integrate them into existing products and services. - Implement cloud-based ML-Ops strategies, ensuring continuous delivery and integration of AI models across platforms. - Guide the technical direction of AI projects, providing strategic advice and ensuring alignment with business objectives. - Lead feature engineering efforts and ensure data quality through rigorous testing and validation methodologies. Overview - As a Lead Gen AI Data Scientist, you will be positioned at the forefront of innovation in the consulting sector, leveraging your expertise to drive transformative AI solutions. - Based in Bangalore, you will operate in a dynamic and fast-paced environment, utilizing cutting-edge technologies and methodologies to solve complex business problems. - This role requires a deep understanding of classical machine learning and Generative AI applications, where you will lead the design, development, and deployment of scalable AI systems. - You will collaborate with cross-functional teams to integrate AI solutions into existing business processes, enhancing efficiency and decision-making capabilities. - This role is pivotal in ensuring the seamless integration of AI-driven insights into enterprise systems, thereby enhancing data-driven decision-making. - You will be expected to advise on the strategic direction of AI projects, ensuring alignment with organizational goals and market demands. - Your contributions will not only enhance the technological capabilities of the firm but also position it as a leader in AI-driven consulting solutions. - This is an opportunity to push the boundaries of AI application and innovation in a leading consulting firm. - The position requires a comprehensive understanding of cloud technologies, machine learning models, and AI-driven tools, with a particular focus on leveraging these skills in practical, real-world consulting scenarios. - You will be expected to demonstrate thought leadership, guiding the development teams and contributing to the firm’s AI strategy. - This role also involves mentoring junior data scientists, fostering a culture of continuous learning and innovation within the team. - With a hybrid work model, you will enjoy the flexibility of working both remotely and onsite, collaborating with diverse teams to deliver AI solutions that drive business transformation. - You will be instrumental in architecting and deploying next-generation AI systems that are robust, efficient, and scalable, setting new standards in the consulting industry. Requirements - 10+ years of experience in machine learning, Generative AI, and ML-Ops with a strong foundation in classical ML techniques. - Proficiency in Python, PySpark, and SQL, with hands-on experience in Scikit-Learn, XGBoost, and LightGBM. - Experience with cloud platforms such as AWS, Azure, and Databricks, including model deployment and monitoring. - Strong skills in data engineering and feature extraction, with experience in exploratory data analysis (EDA) and design of experiments (DOE). - Proven track record of building production-grade AI applications, with deep knowledge of LangChain, LangGraph, and LangSmith. - Experience with version control and code repositories, specifically Git and GitHub, for managing AI project workflows. - Skilled in developing and optimizing AI models using Docker, MLflow, Sagemaker, and other ML-Ops tools.