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Senior ML role in metro Hyderabad with a popular Data Scientist title yields moderate competition.
Advanced ML/GenAI and production deployment skills are transferable, though industrial domain experience increases fit.
Explicit 8–15 years plus many mandatory ML/GenAI and cloud skills makes hiring filters strict.
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Own end-to-end machine learning and AI solution development including design, training, deployment, and production optimization across commercial operations, supply chain, and customer experience.
Apply classical Data Science techniques and advanced Generative AI methods (e.g., LLM workflows, embeddings) to solve complex enterprise-scale problems.
Collaborate with engineering, product, and business teams; mentor junior members; and ensure solutions are scalable and aligned to business needs.
8–15 years of hands-on Data Science and Machine Learning experience with proven end-to-end ownership.
Bachelor's degree in CS, Data Science, Statistics, Engineering, or related field; Master's preferred (M.Tech/PGP/PGD) with coursework completed preferably by 2017.
Proficiency in Python, SQL, and libraries like Pandas, NumPy, Scikit-learn; deep learning and NLP experience with TensorFlow or PyTorch.
Experience with Generative AI tools (LangChain, HuggingFace), vector databases (FAISS), and cloud platforms (AWS, GCP, Azure).
Senior individual contributor with deep technical ownership and delivery experience of complex ML solutions in enterprise environments.
Strong practitioner combining classical Data Science expertise with practical application of GenAI and cloud technologies.
Experience in industrial, manufacturing, or large-scale enterprise commercial business domains with exposure to responsible AI and model governance.