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Senior ML lead in Bangalore with common ML/cloud skills and moderate-brand company yields medium competition.
Strong ML and client-domain experience required, but technical skills remain transferable across industries.
Explicit 8-12 years and required ML, cloud, leadership, and client-facing skills make shortlisting highly stringent.
Own end-to-end delivery of AI and analytics programs including hands-on technical contributions, client engagement, and technical team management.
Develop and guide the execution of data science roadmaps and strategies aligned to client needs across sectors like Retail, Pharma, Banking, and Insurance.
Manage project planning, reviews, and stakeholder interactions ensuring project adherence, timely delivery, and maximized team utilization.
8-12 years of work experience in data science roles.
Proficiency in programming languages Python, R, SQL, NoSQL, Spark, and ML tools.
Experience with cloud platforms AWS, Azure, or GCP.
Strong understanding of machine learning algorithms and statistical hypothesis testing.
Experienced in balancing hands-on data science work with client-facing and team leadership roles.
Strategic thinker capable of defining technology roadmaps and aligning team deliverables with client business problems.
Skilled in managing complex projects with multiple stakeholders and driving scalable client engagement processes.