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Chennai · On-site · 10-13 Yrs · 1 day ago
1 views
2 open roles2 posted in 7d2 in 30d
Hiring: Engineering
Job description
Overview
Job Summary - Job Description (Internal) Job Summary - Job Advert (External) The Senior Manager, AI/ML Engineering leads AI/ML engineering delivery and operational performance across AI/ML platforms, model development, MLOps, responsible AI, and production machine learning solutions.
Responsibilities
- Lead planning, delivery, and operational performance for AI/ML engineering.
- Guide a team responsible for AI/ML platforms, model development, MLOps, responsible AI, and production machine learning solutions.
- Translate priorities into roadmaps, plans, backlogs, and measurable outcomes.
- Reinforce quality, architecture, security, privacy, compliance, and operational standards.
- Manage capacity, delivery risks, dependencies, budgets, and vendors as applicable.
- Use metrics to improve quality, speed, reliability, cost, and stakeholder value.
- Lead, coach, and develop team members; support hiring, performance, and talent processes.
- Build strong partnerships across business, product, architecture, security, data, and technology teams.
- Communicate priorities, progress, risks, and decisions clearly.
- Create an inclusive, accountable, and high-performing team environment.
Qualifications
- Bachelor's degree in Computer Science, Information Technology, Engineering, Design, Analytics, Business, or a related discipline
- 10 to 12 years of relevant experience in AI/ML engineering or a closely related discipline
- Experience with AI/ML platforms, model development, MLOps, responsible AI, and production machine learning solutions
- Experience leading teams, workstreams, programs, or technology delivery in a complex organization
- Knowledge of Python, machine learning frameworks, cloud AI services, model deployment, monitoring, and MLOps
- Experience collaborating across business and technology teams
- Strong analytical, problem-solving, written, and verbal communication skills
- 2+ years of experience in quality assurance, software testing, test automation; with increasing scope and complexity.
- Knowledge of Software Development Life Cycle (SDLC) and Software Testing Life Cycle (STLC).
- Strong analytical and problem-solving skills"
- Master's degree in a related technical or business field is preferred
- Advanced knowledge of Python, machine learning frameworks, cloud AI services, model deployment, monitoring, and MLOps
- Experience with enterprise-scale cloud, data, digital, retail, pharmacy, healthcare, or customer technology environments
- Experience working with global teams, managed service partners, or distributed delivery models
- Relevant industry, cloud, agile, product, architecture, data, security, design, or technology certifications are preferred
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Job application FAQ
Last updated 27 October 2026
- How do I apply for Senior Manager, AI/ML Engineering at DU Tech?
- Open this job on Feedback AI and sign up free (or sign in). You can apply from the job detail page; match scores and skill gaps appear when your profile is complete. DU Tech may attach structured assessments to interview rounds after you apply.
- Does Feedback AI show a match score for this Senior Manager, AI/ML Engineering role?
- Yes after you add a resume or skills. Match score ranks this role against your profile — skills met, gaps, level, and location — so you prioritise applications where fit is strongest.
- Is Senior Manager, AI/ML Engineering remote or on-site in Chennai, Tamil Nadu?
- This listing is marked on_site with location Chennai, Tamil Nadu. Confirm details on the job description before applying.
- What skills matter for this Senior Manager, AI/ML Engineering role at DU Tech?
- This is a senior Senior Manager, AI/ML Engineering role. Key skills include skills listed in the job description. Feedback AI highlights matched vs missing skills on your profile after signup.