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Senior specialized ML role in Gurgaon with a known services employer yields moderate candidate density.
Highly specialized ML/AI and optimization expertise reduces cross-industry transferability.
Explicit 11+ years plus many mandatory ML, cloud, and MLOps skills creates strict filtering.
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Translate client business use cases and technical needs into technical designs and architectures.
Define and evaluate solution options, selecting optimal approaches that meet functional and non-functional requirements including scalability, security, and user experience.
Lead design documentation, code review, root cause analysis, and conduct POCs to validate design/technology choices.
11+ years of total professional experience.
Proven hands-on expertise in data science focusing on predictive modeling, statistical analysis, machine learning, optimization, and NLP.
Strong coding skills in Python and/or R with knowledge of libraries like Pandas, NumPy, Scikit-learn.
Experience with cloud platforms (GCP, AWS, Azure) including cloud architecture, deployment, and MLOps tools for CI/CD and model lifecycle management.
Experienced in designing scalable and secure data science solutions integrating advanced techniques such as Generative AI, RL, and mathematical optimization.
Capable of bridging technical and business aspects by articulating design decisions to developers and aligning with client requirements.
Familiar with modern AI frameworks (RAG, Lang Chain, Llama Index) and able to manage end-to-end solution delivery in cloud ecosystems.