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Senior, specialized ML role with MLOps focus reduces applicant competition in metro markets.
Requires deep ML expertise and mechanical systems domain knowledge, limiting cross-industry transferability.
Explicit 12+ years requirement plus hands-on ML, PyTorch, and MLOps mandates strict screening filters.
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Lead and deliver advanced analytics and machine learning projects with focus on predictive diagnostics for industrial equipment.
Design and develop solutions using modern AI/ML techniques, maintain Python-based analytics software platform, and establish AI/ML production best practices including MLops.
Provide technical leadership and guidance to the data science team, align architectural design with business priorities, and oversee system reliability and scalability.
Minimum 12 years of experience with proven leadership in data science projects.
Bachelor's or advanced degree in computer science, data science, operations research, applied mathematics, engineering, physics, or related field.
Strong expertise in Python data science ecosystem (pandas, scikit-learn, PyTorch/Keras) and machine learning techniques including classical and deep learning methods.
Work Experience Required: Minimum 12 years. Notice period: Not explicitly mentioned in the JD.
Experienced in leading complex data science initiatives in industrial or engineering domains involving predictive diagnostics.
Hands-on developer with strong command of software architecture, scalable data pipelines, and integration of real-time analytics.
Capable of collaborating across engineering and product teams, providing technical mentorship, and driving adoption of modern data and event-driven architectures.