Principal Consultant - CV(AI App Ops Lead)!

Ready to shape the future of work?

At Genpact, we don’t just adapt to change—we drive it. AI and digital innovation are redefining industries, and we’re leading the charge. Genpact’s AI Gigafactory, our industry-first accelerator, is an example of how we’re scaling advanced technology solutions to help global enterprises work smarter, grow faster, and transform at scale. From large-scale models to agentic AI, our breakthrough solutions tackle companies’ most complex challenges.

If you thrive in a fast-moving, tech-driven environment, love solving real-world problems, and want to be part of a team that’s shaping the future, this is your moment.

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Inviting applications for the role of Principal Consultant - (AI App Ops Lead)!

We are looking for a seasoned and hands-on Application Operations Lead to drive the operational excellence of Computer Vision (CV) applications. This individual will lead and mentor a team of ML CV Ops Engineers, ensuring the resilience, scalability, and reliability of AI-powered visual systems deployed in production environments. The ideal candidate will bring a blend of leadership, system operations, ML infrastructure knowledge, and cross-functional collaboration. You will be responsible for orchestrating the delivery, monitoring, and optimization of critical CV models and applications, deployed across cloud and edge environments.

Key Responsibilities :

Lead and mentor a team of ML CV Ops Engineers to manage the lifecycle of computer vision applications in production.

Define and implement operational strategies, workflows, and performance goals for the App Ops team.

Foster a DevOps / MLOps culture of automation, ownership, and continuous improvement.

Ensure production CV applications meet high availability, performance, and security standards.

Establish SLAs, monitoring policies, and governance frameworks for mission-critical AI systems.

Own the incident response process, drive root cause analysis, and coordinate remediation with CV engineering and data science teams.

Maintain high observability through monitoring tools (e.g., Prometheus, Grafana, Datadog, AppDynamics).

Partner with Data Scientists, MLOps, Cloud Engineers, and Software Developers to ensure smooth model deployments and robust CI / CD pipelines.

Act as the technical operations bridge between AI model development and enterprise IT.

Champion automation of repetitive support and operational tasks, including model validation, performance regression testing, and retraining triggers.

Drive cost and resource optimization for cloud / GPU infrastructure used in CV workloads.

Ensure operational practices adhere to audit, security, and regulatory compliance requirements.

Maintain operational runbooks, escalation paths, and support documentation for CV systems.

Define, Implement, Execute AI App Ops standard work

Define KPIs for Support Ops performance and monitor and report on Support Ops KPIs

Assist in issue analysis and remediation by developing standard work and investigate, troubleshoot, manage and resolve technical issues

Develop code and implement proactive alerting mechanisms

Establish and Monitor and act on observability metrics and thresholds

Design and Develop proactive alerting mechanisms

Create and Implement feedback loop for model observability data

Configure and develop scalable pipeline for model integrations

Implement observability metrics and thresholds

Govern and Support change management processes

Assist in knowledge transition and developing training materials

Oversee and assist in investigation and resolution of vulnerabilities

Transition knowledge from incumbent partner

Qualifications we seek in you!

Minimum Qualifications

Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field.

experience in IT Operations, Site Reliability Engineering, or DevOps, with 2+ years in managing ML / AI systems in production.

Proven experience in leading technical teams, preferably in ML Ops or platform engineering contexts.

Strong understanding of cloud infrastructure (AWS / GCP / Azure), containers (Docker), orchestration (Kubernetes), and CI / CD practices.

Experience supporting and optimizing Computer Vision workloads in real-time or batch systems.

Familiarity with MLOps platforms and tools (e.g., MLflow, DVC, TensorFlow Serving, TorchServe, Airflow).

Preferred Qualifications :

Prior experience with model monitoring, drift detection, and retraining automation.

Experience working in industries like energy, industrial equipment, manufacturing is a strong plus.

Exposure to edge deployment strategies (e.g., NVIDIA Jetson, TensorRT, ONNX optimization).

ITIL or SRE certifications are a bonus.

Why join Genpact?

Be a transformation leader – Work at the cutting edge of AI, automation, and digital innovation

Make an impact – Drive change for global enterprises and solve business challenges that matter

Accelerate your career – Get hands-on experience, mentorship, and continuous learning opportunities

Work with the best – Join 140,000+ bold thinkers and problem-solvers who push boundaries every day

Thrive in a values-driven culture – Our courage, curiosity, and incisiveness - built on a foundation of integrity and inclusion - allow your ideas to fuel progress

Come join the tech shapers and growth makers at Genpact and take your career in the only direction that matters : Up.

Let’s build tomorrow together.