Job Title

We are hiring for Data Science Senior Manager for a leading client based in Gurugram location Exp : 11-15yrs Tech Stack :70%hands (technical side)+Data science+AI+SQL+AWS Mode: Hybrid Roles and responsibilities - Lead and develop high-performing teams in designing, building, and scaling robust data engineering and backend systems using Python, SQL, and modern data platforms (e.g., Snowflake, AWS Glue, Lambda). - Design and implement AI-driven analytics solutions, apply advanced machine learning and GenAI techniques such as prompt engineering, LangChain integration, and agentic AI frameworks leveraging OpenAI and similar platforms. - Architect scalable data pipelines and foundations to support enterprise-wide analytics, automation, and AI-driven decision-making. - Establish and uphold best practices for model development, validation, documentation, and ethical AI, ensuring consistency and quality across all initiatives. Job Responsibilties - Leading and inspiring technical teams - you foster collaboration, clarity, and accountability across diverse, global teams of data scientists, engineers, and analysts. - Bridging strategy and execution - you can define data and AI vision while remaining hands-on in technical delivery, ensuring that architecture and solutions meet real business needs. - Applying deep technical expertise - you bring strong knowledge of data science, machine learning, large language models (LLMs), and generative AI frameworks (e.g., LangChain), with hands-on experience in prompt engineering and retrieval-augmented generation (RAG) techniques. - Designing and scaling AI solutions - you understand how to design, optimize, and scale AI and data solutions on AWS, GCP, and Azure, leveraging modern cloud architectures and MLOps best practices. - Designing for scalability and performance - you're experienced in building and optimizing data architectures, pipelines, and model deployment frameworks that support enterprise-grade analytics. - Driving innovation and continuous improvement - you explore and integrate emerging AI technologies and methodologies to enhance analytical capabilities and efficiency. - Simplifying complexity - you can translate advanced technical concepts into clear, actionable insights for senior business stakeholders. - Collaborating across disciplines - you partner effectively with data engineers, analysts, product managers, and business leaders to align technical execution with strategic objectives. - Coaching and capability building - you're passionate about developing talent, establishing best practices, and cultivating a culture of technical excellence and learning. - Operating with agility and structure - you thrive in fast-paced, evolving environments, using agile principles to balance innovation with disciplined delivery.