Job DescriptionAI & Machine Learning N
- nDesign, develop, and implement machine learning models for predictive analytics, natural language processing (NLP), computer vision, or recommendation systems. N
- nLead end-to-endAI project lifecycles, including validation, productionization, and optimization using frameworks such as TensorFlow, PyTorch, and scikit-learn. N
- nStay updated with the latest advancements in Generative AI and foundation models, evaluating and integrating them as needed. N
- nPartner with cross-functional teams to identify AI use cases and deliver measurable business value. NData Science & Analytics N
- nLead the end-to-end analytics lifecycle, from data exploration to actionable insights and product development. N




- nCollaborate with data engineers and analysts to build impactful solutions that drive business outcomes. N
- nLeadership & Strategy N
- nMentor and guide junior team members, fostering their professional growth. N
- nContribute to the enterprise AI and cloud strategy, including roadmap planning and vision setting. NCloud Architecture & Engineering N
- nArchitect and design cloud-native AI and data platforms on GCP (preferred), AWS, or Azure. N
- nOptimize data pipelines and machine learning workflows using services like Vertex AI, SageMaker, or Azure ML. N
- nEnsure scalable, secure, and cost-productive architectures with robust CI/CD pipelines in cloud environments.

📌 Dvp - Data Science Ai (Alibag)
🏢 IndiaFirst Life
📍 Alibag