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Senior ML role with broad AI/tool requirements at a non-Tier-1 firm yields moderate applicant competition.
Core ML/AI engineering skills are transferable across industries, moderate domain specificity required.
Explicit 7+ years plus mandatory AI, coding, and leadership skills makes shortlisting stringent.
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Design and implement scalable AI and automation solutions using Python and other scripting languages to improve operational effectiveness.
Own the architectural vision and technical roadmap for the digitalization team, ensuring high-quality, compliant, and maintainable systems.
Provide technical leadership, mentor teams, lead innovation initiatives, perform rigorous code reviews, and take ownership of software lifecycle post-deployment.
Bachelor’s degree in Computer Engineering with 7+ years experience OR ME/M.Tech in Mechanical or related engineering with 4+ years relevant engineering experience.
Proficiency in one or more object-oriented programming languages.
Strong skills in Python scripting, automation frameworks, and AI-enabled digital tools.
Work Experience Required: 4+ to 7+ years depending on qualification.
Experienced in leading end-to-end AI/ML or automation projects with demonstrable impact on business or operational metrics.
Able to navigate ambiguity by translating complex requirements into actionable technical roadmaps and drive strategic innovation across teams.
Skilled in process management, problem-solving using rigorous methods, and maintaining code quality with a focus on long-term system health.