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Current Openings

AI Engineer

Posted 8 months ago

Role Summary The AI Engineer will be responsible for implementing, maintaining, and optimising the technical infrastructure of the AI Centre of Excellence (CoE). This role focuses on hands-on deployment, long-term reliability, and operational excellence, ensuring that all AI labs are secure, scalable, and cost-efficient. Working under the guidance of the AI Consultant (Strategic Lead) and Project Manager (Delivery Lead), the AI Engineer will build and maintain the technical backbone that supports research, teaching, and innovation across the CoE’s core domains. Location: Bhubaneswar Engagement: Permanent Key Responsibilities Infrastructure Setup & Operations

Deploy and configure cloud and on-prem GPU environments, storage, and development systems for CoE labs.
Manage system administration, user provisioning, monitoring dashboards, and uptime tracking.
Implement backup, versioning, and disaster-recovery protocols for research data and codebases.
Maintain and upgrade hardware and software assets in alignment with usage growth and performance needs.

Frameworks & Tool Integration

Install, configure, and maintain core AI frameworks and SDKs (TensorFlow, PyTorch, Hugging Face, OpenCV, etc.).
Integrate shared data pipelines, APIs, and reusable frameworks across CoE domains for standardisation.
Ensure reproducible environments using containers or orchestration tools (Docker, Kubernetes, Conda).
Support faculty and student teams with environment setup, framework compatibility, and troubleshooting.

Governance, Security & Cost Management

Implement access control, data-security policies, and anonymisation workflows compliant with Responsible AI standards.
Monitor GPU and cloud utilisation; optimise resource allocation and maintain cost dashboards.
Enforce institutional and ethical AI compliance in collaboration with the Project Manager and governance boards.
Support periodic audits, infrastructure reviews, and reporting to the Steering Committee.

Knowledge Transfer & User Enablement

Develop lab manuals, configuration runbooks, and onboarding guides for faculty and students.
Provide first-line technical support and training sessions on AI toolchains, environments, and data handling.
Document all configurations and procedures to ensure continuity through the Build–Operate–Transfer phases.
Contribute to university self-sufficiency by mentoring internal staff on ongoing system management.

Skills & Competencies

Strong applied AI tooling experience (Python, TensorFlow, PyTorch, Hugging Face, scikit-learn).
Hands-on expertise in environment setup, containerisation, and DevOps tools (Docker, Kubernetes, Git).
Cloud platform proficiency (AWS, Azure, GCP) with focus on performance tuning and cost control.
Familiarity with CI/CD pipelines, code versioning, and reproducibility best practices.
Working knowledge of information security, access management, and ethical AI compliance.
Reliable, collaborative, and process-driven with a commitment to long-term CoE operations.

Qualifications

Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, or related field.
3–4 years’ experience in AI systems engineering, DevOps, or technical lab management.
5-6 years’ experience in software engineer in dev role.
Experience maintaining GPU clusters, hybrid-cloud research environments, or AI lab infrastructure.
Demonstrated track record of stability and sustained operational ownership in previous roles.

Role Summary The AI Engineer will be responsible for implementing, maintaining, and optimising the technical infrastructure of the AI Centre of Excellence (CoE). This role focuses on hands-on deployme...

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Project Manager

Posted 8 months ago

Role Summary The Project Manager will lead the planning, execution, and monitoring of the AI Centre of Excellence (CoE) roadmap, ensuring successful delivery of outcomes within scope, schedule, and budget. The role requires close coordination between the university, faculty, industry partners, and technical teams, ensuring governance compliance, financial transparency, and risk mitigation. Location: Bhubaneswar Engagement: Permanent Key Responsibilities Planning & Delivery Execution

Develop and maintain a detailed project implementation plan with milestones and dependencies.
Coordinate governance reviews, track progress, and manage project risks and change controls.
Align technical delivery with AI engineers to ensure timely achievement of lab and infrastructure goals.
Oversee infrastructure setup (cloud credits, GPU servers, smart classrooms) through to successful deployment.

Governance, Reporting & Compliance

Represent the PMO in Steering Committee meetings and report progress to the CoE Director.
Establish governance dashboards, issue/risk registers, and ensure timely reporting cycles.
Ensure compliance with AI ethics, institutional standards, and data governance frameworks.
Maintain comprehensive documentation to support audits, knowledge transfer, and transparency.

Stakeholder & Academic Coordination

Engage Deans, Faculty Champions, and department heads to integrate CoE outputs with academic and research programmes.
Facilitate industry MoUs and ensure their linkage to student capstones, internships, and research pilots.
Drive student and faculty engagement through hackathons, electives, and innovation challenges.
Support faculty incentive rollout and monitor participation across labs and academic clusters.

Financial, Vendor & Resource Management

Manage project budgets, forecasts, and expenditure variance against approved milestones.
Oversee vendor onboarding, contracts, and SLA compliance for infrastructure and software services.
Maintain transparent cost dashboards and provide financial reporting to the Steering Committee.
Ensure efficient allocation of internal and external delivery resources across project workstreams.

Knowledge Transfer (KT) & Sustainability

Track and document knowledge transfer across documentation, co-delivery, and reverse shadowing phases.
Develop operational playbooks and runbooks to support university self-sufficiency post-handover.
Mentor internal PMO and administrative staff to strengthen delivery governance capabilities.
Ensure post-handover readiness by validating operational independence for at least one academic quarter.

Skills & Competencies

Strong project delivery background (Agile, PMP, PRINCE2).
Skilled in stakeholder management, budgeting, and operational governance.
Excellent leadership, presentation, and communication skills.
Resilient under pressure and adaptive learner.
Structured problem-solver, and analytical decision-maker.

Qualifications

Bachelor’s or Master’s in engineering, Management, or related discipline.
8–10 years’ experience in project/programme management.
PMP/PRINCE2/Agile certification desirable.
Experience in IT or AI transformation projects preferred.

Role Summary The Project Manager will lead the planning, execution, and monitoring of the AI Centre of Excellence (CoE) roadmap, ensuring successful delivery of outcomes within scope, schedule, and bu...

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AI Consultant

Posted 8 months ago

Role Summary The AI Consultant will serve as the strategic head and architect of the AI Centre of Excellence (CoE), driving its vision, governance, and execution in alignment with unversity’s roadmap. This senior role will lead the design and delivery of the CoE’s academic, research, and industry engagement strategy, ensuring that the university emerges as a benchmark institution for applied Artificial Intelligence. The AI Consultant will guide engineers, mentor faculty and students, and ensure that CoE activities translate into measurable innovation, research, and societal impact. Location: Bhubaneswar Engagement: Permanent Key Responsibilities Strategy, Governance & Institutional Alignment

Define and operationalise the CoE’s strategic roadmap, governance charter in line with the BOT model.
Co-lead the Steering Committee and Ethics Board to ensure accountability and data-driven decision-making.
Represent the CoE in executive meetings with university leadership, regulatory bodies, and funding agencies.

Research, Innovation & Technical Direction

Provide strategic direction for establishing AI labs (Healthcare AI, Computer Vision, NLP/GenAI, MLOps) and define their technical architecture and stack.
Mentor faculty and research fellows in AI Strategy.
Oversee development of AI electives, certification programmes, and faculty ToT initiatives that embed applied research and industry relevance.

Industry, Partnerships & External Engagement

Forge and manage industry partnerships, ensuring MoUs translate into research projects, internships, and capstone collaborations.
Represent the university in national and global AI forums, summits, and consortia to strengthen visibility and partnerships.
Benchmark CoE performance against India’s top AI CoEs and identify international collaboration opportunities.

Delivery Oversight & Sustainability

Provide strategic oversight for CoE delivery, guiding the Project Manager and technical teams to achieve milestones on time and within budget.
Track CoE performance metrics (publications, student engagement, patents, startup incubation) and report to the Steering Committee.
Drive faculty and student capacity-building programmes to ensure institutional self-sufficiency post-handover.

Skills & Competencies

Deep expertise across AI/ML domains (Healthcare AI, Computer Vision, NLP/GenAI, MLOps, and Responsible AI).
Proven record of research impact - patents, publications, and AI projects.
Strong academic-industry network and experience in collaborative innovation programmes.
Strategic leadership with the ability to integrate governance, delivery, and technical excellence.
Excellent communication and stakeholder-engagement skills, able to influence academic, government, and corporate ecosystems.
Knowledge of ethical AI frameworks, data governance, and global best practices for AI labs and CoEs.

Qualifications

B.E/master’s in computer science Or specialisation courses in Artificial Intelligence, Machine Learning, Data Science.
2 Years in AI leadership roles (academia, research, or industry).
8-10 Years in software development roles.
Demonstrated experience in establishing or scaling AI Centres of Excellence, labs, or innovation programmes.
Experience in software development, data engineering, or AI system design preferred.

Role Summary The AI Consultant will serve as the strategic head and architect of the AI Centre of Excellence (CoE), driving its vision, governance, and execution in alignment with unversity’s roadma...

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AI Engineer

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