AI & Machine Learning

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nDesign, develop, and implement machine learning models for predictive analytics, natural language processing (NLP), computer vision, or recommendation systems.

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nLead end-to-end AI project lifecycles, including validation, productionization, and optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn.

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nStay updated with the latest advancements in Generative AI and foundation models, evaluating and integrating them as needed.

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nPartner with cross-functional teams to identify AI use cases and deliver measurable business value.

nData Science & Analytics

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nLead the end-to-end analytics lifecycle, from data exploration to actionable insights and product development.

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nCollaborate with data engineers and analysts to build impactful solutions that drive business outcomes.

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nLeadership & Strategy

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nMentor and guide junior team members, fostering their skilled growth.

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nContribute to the enterprise AI and cloud strategy, including roadmap planning and vision setting.

nCloud Architecture & Engineering

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nArchitect and design cloud-native AI and data platforms on GCP (preferred), AWS, or Azure.

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nOptimize data pipelines and machine learning workflows using services like Vertex AI, SageMaker, or Azure ML.

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nEnsure scalable, secure, and cost-efficient architectures with robust CI/CD pipelines in cloud environments.

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