AVP / DVP - Data Science

<div> <div>Designation: Assistant Vice President Data Science</div> <div>Mumbai</div> <div>Salary upto 40 LPA </div> <div>8+ years of experience in AI and Data</div> <div>Science roles.</div> <div>Assistant Vice President</div> <div>Your journey with us begins here, where success is more than just a possibility-</div> <div>it's the Certainty of Life.</div> <div>Bachelor's or Master's degree in<br /> computer science, AI/ML, or a related</div> <div>field.<br /> Location: Grade:</div> <div> </div> <div><b>roles and responsibilities?</b></div> <div> </div> <div>AI & Machine Learning<br /> Design, develop, and implement machine learning models for predictive analytics, natural language<br /> processing (NLP), computer vision, or recommendation systems.<br /> Lead end-to-end AI project lifecycles, including validation, productionization, and optimization using<br /> frameworks such as TensorFlow, PyTorch, and scikit-learn.<br /> Stay updated with the latest advancements in Generative AI and foundation models, evaluating and<br /> integrating them as needed.<br /> Partner with cross-functional teams to identify AI use cases and deliver measurable business value.<br /> Data Science & Analytics<br /> Lead the end-to-end analytics lifecycle, from data exploration to actionable insights and product<br /> development.<br /> Collaborate with data engineers and analysts to build impactful solutions that drive business outcomes.<br /> Leadership & Strategy<br /> Mentor and guide junior team members, fostering their professional growth.<br /> Contribute to the enterprise AI and cloud strategy, including roadmap planning and vision setting.<br /> Cloud Architecture & Engineering<br /> Architect and design cloud-native AI and data platforms on GCP (preferred), AWS, or Azure.<br /> Optimize data pipelines and machine learning workflows using services like Vertex AI, SageMaker, or<br /> Azure ML.<br /> Ensure scalable, secure, and cost-efficient architectures with robust CI/CD pipelines in cloud<br /> environments.</div> <div>Bachelor's or Master's degree in computer science, AI/ML, or a related field.<br /> Education</div> <div>Confidential</div> <div><br /> <b>Work Experience</b></div> <div><b> 8+ years of experience in AI and Data Science roles.</b></div> <div> </div> <div><b>Required Skills</b></div> <div> Proficiency in Python and SQL.</div> <div> Strong expertise in machine learning frameworks like TensorFlow, PyTorch, Hugging Face, and scikit-<br /> learn</div> <div> Hands-on expertise with large language models (LLMs), vector databases, and retrieval-augmented<br /> generation (RAG) techniques<br /> In-depth knowledge of cloud platforms, preferably GCP, but also AWS or Azure.<br /> Familiarity with data engineering tools such as BigQuery, Kafka, Snowflake.<br /> Sound knowledge of data privacy, governance, and ethical AI practices.<br /> Expertise in MLOps practices, including CI/CD pipelines, model monitoring, and A/B testing.<br /> </div> <div>Competencies</div> <div> </div> <div> Strategic Thinking<br /> Stake-holder/Vendor Management<br /> Team Management<br /> Domain Knowledge<br /> Problem Solving/Solution Provider<br /> Risk management</div> </div>