Back
Niche industrial ML role in non-metro location reduces competition despite Maruti brand.
Core ML skills transferable, but manufacturing process knowledge increases domain specificity.
Requires hands-on ML/AI, model lifecycle and Python skills, creating moderately strict technical filters.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop and deploy AI/ML solutions to optimize production engineering processes, including predictive models, vision, and NLP applications.
Collaborate with stakeholders to translate business problems into AI-driven solutions and integrate AI with enterprise systems through data engineering.
Monitor and improve AI model performance at scale while promoting user adoption via training and support.
B.E. / B.Tech in IT, Mechatronics, Electrical, ECE, Mechanical or MCA degree mandatory.
Hands-on experience with Python, AI tools, and ML frameworks required.
Knowledge of AI/ML, data analytics, and understanding of data handling, APIs, and system integration.
Work Experience Required: Not explicitly mentioned in the JD.
Experience with AI/ML applications in manufacturing or industrial environments preferred, indicating domain familiarity.
Ability to collaborate cross-functionally with business and data engineering teams to deliver integrated AI solutions.
Strong analytical and problem-solving skills focused on real-world AI use cases and business impact.