STC UP Chief AI ML Expert Recruitment 2026

State Transformation Commission, Uttar Pradesh is hiring 1 Chief AI & ML Expert for the State Data Authority in Lucknow. If you have a Master's degree in AI, ML, Data Science, Computer Science, Statistics or a related field and at least 10 years of analytics or AI deployment experience, you can apply by email. The role is linked with state-wide AI adoption, MLOps, responsible AI, forecasting, fraud analytics and citizen service improvement. The consultant pay range listed for Senior Consultant level is Rs. 2,55,000 to Rs. 3,30,000 per month.

STC UP Chief AI ML Expert Recruitment 2026 - 1 Post

State Transformation Commission (STC), Government of Uttar Pradesh has listed this role under the State Data Authority. The Chief AI & ML Expert will prepare the State AI roadmap, identify high-impact AI use cases across departments and help the government use AI in a secure and responsible way. This is a senior technical consultant role for people who can convert government data into practical AI/ML systems with measurable public-service impact.

The work is strategic and hands-on. The official job description covers demand forecasting for health, transport, utilities and schools, crop yield prediction, disease outbreak early warning, urban congestion and pollution prediction, welfare duplicate detection, suspicious claim analytics, procurement anomaly detection, revenue leakage analytics, AI chatbots, intelligent grievance routing and document processing. The first-year deliverables include State AI policy/roadmap approval, an AI Centre of Excellence at GBU, 10 pilots, 3 state-wide scaled models, a fraud analytics engine, a multilingual citizen chatbot, responsible AI framework and officer training.

Vacancy Details

• Post Name: Chief AI & ML Expert
• Opening: 1 post
• Grade: Senior Consultant / Individual Consultant role as per STC guidelines
• Unit: State Data Authority
• Location: Lucknow, Uttar Pradesh
• Reporting To: Chief Executive Officer, State Transformation Commission, in coordination with CDO, CTO and CISO

Who Can Apply?

Qualification and Experience

• Education: Master's degree in AI, Machine Learning, Data Science, Computer Science, Statistics or a related field.
• Experience: At least 10+ years in analytics or AI deployments.
• System exposure: Experience with large public-sector or enterprise data systems is expected.
• Technical depth: Strong knowledge of MLOps, NLP, forecasting and governance use cases.
• Age reference: Senior Consultant level in the linked STC guidelines has an upper age limit of 62 years.

Useful Skills

• AI governance: Responsible AI guidelines, fairness checks, explainability and human-in-the-loop systems.
• Data science delivery: ML pipelines, feature stores, model registries, model monitoring and audit trails.
• Public-sector analytics: Forecasting, beneficiary matching, fraud detection, grievance routing and dashboard insights.
• Partnership work: Collaboration with universities, startups, industry and public bodies such as IIT Kanpur, IIT Delhi and NITI Aayog where relevant.

Performance will be measured through clear KPIs such as number of AI use cases deployed, financial savings or leakages prevented, prediction model accuracy, reduction in service response time, citizen satisfaction, number of departments using AI tools, time from pilot to scale-up and compliance with responsible AI standards. This means you should be comfortable working with department officers, data teams, security teams, vendors and senior government leadership.

Age Limit

• For Senior Consultant level, the linked STC guidelines mention an upper age limit of 62 years.
• Normal tenure: Individual consultants are usually engaged for 2 years, extendable one year at a time up to 5 years based on requirement and performance.
• Final age cap: No extension is given beyond 65 years under the consultant guidelines.

Salary

• Senior Consultant monthly pay range is Rs. 2,55,000 to Rs. 3,30,000.
• The pay is a consolidated monthly amount released by STC as per the terms of engagement.
• Approved official travel may be supported as per STC consultant guidelines.

Application Fee

• No application fee is mentioned on the official STC vacancy page or linked guidelines.

Selection Process

The linked STC guidelines describe a committee-based consultant selection process for these positions.

1. Application Review: STC receives applications and updated CVs by email.
2. Screening Committee: A committee checks qualification, experience and fit for the State Data Authority requirement.
3. Consultancy Evaluation Committee: Shortlisted profiles are placed before the evaluation committee for recommendation.
4. Final Decision: The competent authority makes the final decision as per STC rules.

How to Apply

1. Prepare your updated CV with AI/ML deployments, MLOps work, forecasting models, NLP systems, public-sector analytics or enterprise data systems.
2. Write the email subject as Application for Chief AI and ML Expert.
3. Email your application and CV to stcjobsapply@gmail.com.
4. Keep your Master's degree certificate, experience proofs, project details, identity proof and major AI/ML delivery documents ready for later verification.
5. Check the official STC UP vacancies page for any update because the page refers applicants to the job description and guidelines documents.

Important Dates

• Official Vacancy Page Checked: 30 May 2026
• Application Mode: Email application to stcjobsapply@gmail.com
• Last Date to Apply: To be announced on the official page
• Interview/Assessment Date: To be announced

• Prepare the State AI roadmap aligned with Uttar Pradesh development priorities
• Identify high-impact AI and ML use cases across government departments
• Build reusable ML pipelines, feature stores and model registries
• Deploy MLOps frameworks for government AI systems
• Review AI models for bias, fairness, explainability and privacy safeguards
• Coordinate with CDO, CTO and CISO teams for secure AI deployment
• Train officers on practical AI use cases and responsible adoption
• Monitor AI pilots, state-wide model scale-up and performance KPIs