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Senior, niche ML leadership role in Bangalore reduces applicant density despite metro market.
Requires industrial equipment domain knowledge plus deep ML/MLOps, making industry transfers difficult.
Strict 12-year minimum plus required ML, MLOps, and leadership experience enforces rigid shortlisting.
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Lead and deliver advanced analytics and machine learning projects focused on predictive diagnostics for industrial equipment.
Design and develop innovative software, machine learning models, and data pipelines using Python and AI/ML techniques.
Provide technical leadership and guidance to the data science team including code reviews, best practices implementation, and collaboration with engineering and product teams.
Minimum 12 years of work experience in data science or related fields.
Bachelor’s or advanced degree in computer science, data science, engineering, applied mathematics, physics, operations research, or related discipline.
Proven experience leading complex data science projects.
Strong proficiency in Python data science ecosystem (pandas, scikit-learn, PyTorch/Keras) and machine learning methods (regression, clustering, tree-based models, deep learning).
Experienced in solution architecture and design incorporating modern data architectures, event-driven models, and real-time analytics.
Hands-on software developer with deep technical expertise and capability to maintain AI/ML production infrastructure including MLOps.
Strong background in math, statistics, and algorithms with ability to acquire domain knowledge in mechanical systems and interpret industrial process data.