Computer Vision Engineer - App development - Pan India
- Genpact
- 8 - 13 years
- Noida, Gurugram
- 16 hours ago
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Job Description
Pan India
Inviting applications for the role of Manager (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
Required Qualifications:
- Bachelors or Masters degree in Computer Science, Engineering, or a related field.
- 7+ years of 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?
- Lead AI-first transformation Build and scale AI solutions that redefine industries
- Make an impact Drive change for global enterprises and solve business challenges that matter
- Accelerate your careerGain hands-on experience, world-class training, mentorship, and AI certifications to advance your skills
- Grow with the best Learn from top engineers, data scientists, and AI experts in a dynamic, fast-moving workplace
- Committed to ethical AI Work in an environment where governance, transparency, and security are at the core of everything we build
- 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 140,000+ coders, tech shapers, and growth makers at Genpact and take your career in the only direction that matters: Up.
Lets build tomorrow together.
Genpact is an Equal Opportunity Employer and considers applicants for all positions without regard to race, color, religion or belief, sex, age, national origin, citizenship status, marital status, military/veteran status, genetic information, sexual orientation, gender identity, physical or mental disability or any other characteristic protected by applicable laws. Genpact is committed to creating a dynamic work environment that values respect and integrity, customer focus, and innovation.
Furthermore, please do note that Genpact does not charge fees to process job applications and applicants are not required to pay to participate in our hiring process in any other way. Examples of such scams include purchasing a 'starter kit,' paying to apply, or purchasing equipment o
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Computer VisionEmployement Type: Full timeContact Details:
Company: GenpactLocation(s): Noida, Gurugram
Keyskills: App Development Computer Vision Video Processing Opencv Image Processing
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