AI & Machine Learning

- Design, develop, and implement machine learning models for predictive analytics, natural language processing (NLP), computer vision, or recommendation systems.
- Lead end-to-end AI project lifecycles, including validation, productionization, and optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn.
- Stay updated with the latest advancements in Generative AI and foundation models, evaluating and integrating them as needed.
- Partner with cross-functional teams to identify AI use cases and deliver measurable business value.

Data Science & Analytics
- Lead the end-to-end analytics lifecycle, from data exploration to actionable insights and product development.




- Collaborate with data engineers and analysts to build impactful solutions that drive business outcomes.
- Leadership & Strategy
- Mentor and guide junior team members, fostering their skilled growth.
- Contribute to the enterprise AI and cloud strategy, including roadmap planning and vision setting.

Cloud Architecture & Engineering
- Architect and design cloud-native AI and data platforms on GCP (preferred), AWS, or Azure.
- Optimize data pipelines and machine learning workflows using services like Vertex AI, SageMaker, or Azure ML.
- Ensure scalable, secure, and cost-efficient architectures with robust CI/CD pipelines in cloud environments.

📌 DVP - Data Science AI (Mumbai)
🏢 IndiaFirst Life
📍 Mumbai