West District Delhi Mlops technical lead Jobs – 72 Open Jobs Today

Product Manager
Expertshub.ai —Delhi, Delhi
- Azure
- Computer Science
- PMP
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Data Technology Consultant (AI Consultant)
EPAM Systems, Inc. —Gurugram, Haryana
- System design
- Master's degree
- AI
- Health insurance
- Paid time off
Agentic AI Architect
Air India —Gurugram, Haryana
- Azure
- Computer Science
- System design
Data Platform Architect
Accenture —Gurugram, Haryana
- Full-time
- Computer Science
- Java
- Databases
S&C GN Data & AI - Retail – L7
Accenture —Gurugram, Haryana
- Full-time
- Azure
- Computer Science
- Merchandising
Senior Software Engineer(AI)
dunnhumby —Gurugram, Haryana
- DevOps
- Java
- Master's degree
- Flexible schedule
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Associate Director, GenAI & Data Solution Architect - Global Capability Center
Alvarez & Marsal —Gurugram, Haryana
- Computer science
- Azure
- Doctoral degree
Manager, Software Engineering -Agentic AI & Gen AI
Anaplan —Gurugram, Haryana
- Email
- Azure
- Doctoral degree
- Computer Science
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Product Manager

Expertshub.ai -
Delhi, Delhi

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Job details

Contractual / Temporary

Qualifications

Jira
Power BI
SAFe
Image processing
Azure
CSPO
Computer Science
PMP
Engineering
Business analysis
Tableau
Master's degree
SQL
AWS
Bachelor's degree
Machine learning
Confluence
Product management
Natural language processing
APIs
Agile
B.E.
Business Administration
Data science
AI
Figma
MBA
Information Technology
PRINCE2 Certification

Full job description

Product Manager – AI

ROLE OVERVIEW
The Product Manager – AI will own the product vision, roadmap, lifecycle, adoption, governance, and programme delivery for a portfolio of government AI services. The role combines AI product management with cross-functional leadership, stakeholder management, budget oversight, agency governance, risk management, and compliance.

Educational Qualifications

B.Tech./B.E. in Computer Science, Information Technology, Data Science, or a related technical field is required.
MBA, M.Tech., Systems Engineering degree, or recognised product-management qualification is preferred.
An advanced degree in AI/ML, Computer Science, or a related quantitative field is highly desirable.
Desirable certifications include CSPO, AI product-management credentials, Agile/SAFe Product Owner, PMP, PRINCE2, or SAFe.

Experience

10–12 years in product management, including 4–6 years in AI/ML products or digital-transformation initiatives.
3–5 years in senior product roles leading AI-powered products from discovery to launch and scale.
2–3 years managing cross-functional teams comprising data scientists, ML engineers, designers, analysts, and business stakeholders.
Demonstrated delivery of enterprise-grade AI products with measurable user, operational, or financial impact.
Government or PSU programme-delivery experience is desirable.

Key Responsibilities

Define and own the product vision, strategy, roadmap, positioning, and outcomes for AI-driven government services across the assigned pod cluster.
Lead product discovery, market research, user research, and problem validation to identify citizen and departmental needs suitable for AI intervention.
Translate complex government use cases into product requirements, user journeys, specifications, user stories, acceptance criteria, and measurable success metrics.
Oversee the full lifecycle of 8–10 concurrent AI initiatives, from ideation and prioritisation through build, launch, adoption, measurement, and continuous improvement.
Coordinate AI/ML engineers, data scientists, MLOps, UX, business analysis, QA, agencies, and government stakeholders to maintain alignment and delivery discipline.
Define and track KPIs and OKRs such as adoption, model quality, response time, cost per transaction, service completion, and citizen satisfaction.
Lead competitive analysis, experimentation, roadmap prioritisation, and evaluation of emerging technologies including LLMs, multimodal AI, and agentic systems.
Own rollout strategy, change management, user training, communications, and adoption programmes for government employees and citizens.
Manage product budgets, resource allocation, vendor evaluation, commercial inputs, and platform-component decisions.
Ensure Responsible AI, bias mitigation, transparency, privacy, security, accessibility, and regulatory compliance are embedded in product design and delivery.
Facilitate executive and government stakeholder reviews, presenting progress, evidence, trade-offs, risks, and recommendations.
Own the programme risk register and drive mitigation of delivery, technical, agency, financial, and compliance risks; escalate systemic risks appropriately.
Track budget consumption, produce monthly burn reports and quarterly variance analysis, and maintain spend within approved limits.
Maintain deliverables schedules and verify acceptance evidence for deliverables-linked payments before recommending release.
Monitor agency performance, SLA compliance, resource availability, replacement timelines, and escalations.
Coordinate deployment mobilisation including RDR/RFQ issuance, candidate screening, work-order deployment, standard and niche hiring timelines, and early-deployment incentives.
Act as the primary escalation point to NeGD leadership for delivery, agency, and ministry issues within the assigned portfolio.
Ensure compliance with confidentiality, data security, data governance, IPR, AIKosh publication, and OpenForge source-code deposit obligations.

Technical Competencies

AI/ML: machine-learning fundamentals, neural networks, LLMs, NLP, computer vision, training, inference, evaluation metrics, and production trade-offs.
Product Management: Agile, Scrum, SAFe, Design Thinking, Jobs-to-be-Done, roadmap planning, and prioritisation frameworks such as MoSCoW, RICE, and Kano.
Programme Management: governance, budget tracking, risk management, SLA monitoring, deliverables scheduling, and multi-workstream coordination.
Tools: Jira, Confluence, Azure DevOps, Miro, Figma, Mixpanel, Amplitude, and A/B testing tools.
AI Product Lifecycle: MLOps, deployment pipelines, drift and performance monitoring, continuous learning, model governance, and production operations.
Data Fluency: training-data quality, feature engineering, experimentation, SQL, Excel, Tableau, Power BI, and interpretation of accuracy, precision, recall, and F1-score.
Technology: AWS Bedrock, Azure OpenAI, Google Vertex AI, conversational AI, RAG, voice systems, multimodal AI, agents, and API integrations.
Security and Compliance: data classification, access control, information assurance, GDPR, DPDPA 2023, and MeitY Responsible AI guidelines.
Government Delivery: public procurement, RDR/RFQ processes, multi-agency coordination, and MeitY/NeGD delivery frameworks.
Communication: executive presentation, stakeholder negotiation, facilitation, and translation of technical concepts for non-technical audiences.

Work Location: In person

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mlops technical lead jobs in west district delhi

Product Manager

Data Technology Consultant (AI Consultant)

Agentic AI Architect

Data Platform Architect

S&C GN Data & AI - Retail – L7

Senior Software Engineer(AI)

Associate Director, GenAI & Data Solution Architect - Global Capability Center

Manager, Software Engineering -Agentic AI & Gen AI

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