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Senior specialized ML role at a lesser-known firm in Hyderabad reduces applicant competition.
Requires deep ML, production deployment, and Azure Synapse expertise, limiting cross-industry transferability.
Explicit 10–15 years, enterprise ML, Azure Synapse, and production deployment requirements enforce strict shortlisting.
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Lead design, development, and deployment of advanced analytics and machine learning solutions to address complex business challenges and drive strategic outcomes.
Develop scalable, production-grade ML models and analytical solutions leveraging Azure Synapse Analytics and enterprise data platforms.
Engage and influence cross-functional and executive stakeholders by translating analytical findings into actionable business insights and recommendation.
10–15 years of experience in Data Science, Machine Learning, Advanced Analytics, or related disciplines.
Bachelor's or Master's degree in Data Science, Computer Science, Statistics, Mathematics, Engineering, AI, or related field.
Hands-on experience with Azure Synapse Analytics including data pipelines, integrated analytics workflows, and production ML deployments.
Advanced programming skills in Python and SQL; experience with ML frameworks such as Scikit-Learn, XGBoost, TensorFlow, or PyTorch.
Proven ability to lead complex enterprise-scale AI/ML initiatives from discovery through production deployment in cloud environments, particularly Azure.
Strong consulting and stakeholder management skills with experience presenting to and influencing senior leadership and C-suite executives.
Strategic thinker with deep technical expertise and commercial business acumen focused on delivering measurable business value through data science solutions.