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 skilled 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-effective architectures with robust CI/CD pipelines in cloud settings.

📌 Dvp Data Science Ai Alibag
🏢 IndiaFirst Life
📍 Alibag