Employer Active
Job Alert
You will be updated with latest job alerts via emailJob Alert
You will be updated with latest job alerts via emailReady to build the future with AI
At Genpact we dont just keep up with technologywe set the pace. AI and digital innovation are redefining industries and were leading the charge. Genpacts AI Gigafactory our industry-first accelerator is an example of how were 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 innovation-driven environment love building and deploying cutting-edge AI solutions and want to push the boundaries of whats possible this is your moment.
Genpact (NYSE: G) is anadvanced technology services and solutions company that deliverslastingvalue for leading enterprisesglobally.Through ourdeep business knowledge operational excellence and cutting-edge solutions we help companies across industries get ahead and stay ahead.Powered by curiosity courage and innovationour teamsimplementdata technology and AItocreate tomorrow today.Get to know us atand onLinkedInXYouTube andFacebook.
Inviting applications for the role of Assistant Manager-ML CV Ops!
We are seeking a highly skilled ML CV Ops Engineer to join our AI Engineering team. This role is focused on operationalizing Computer Vision modelsensuring they are efficiently trained deployed monitored and retrained across scalable infrastructure or edge environments. The ideal candidate has deep technical knowledge of ML infrastructure DevOps practices and hands-on experience with CV pipelines in production. Youll work closely with data scientists DevOps and software engineers to ensure computer vision models are robust secure and production-ready always.
Key Responsibilities:
End-to-End Pipeline Automation: Build and maintain ML pipelines for computer vision tasks (data ingestion preprocessing model training evaluation inference). Use tools like MLflow Kubeflow DVC and Airflow to automate workflows.
Model Deployment & Serving: Package and deploy CV models using Docker and orchestration platforms like Kubernetes. Use model-serving frameworks (TensorFlow Serving TorchServe Triton Inference Server) to enable real-time and batch inference.
Monitoring & Observability: Set up model monitoring to detect drift latency spikes and performance degradation. Integrate custom metrics and dashboards using Prometheus Grafana and similar tools.
Model Optimization: Convert and optimize models using ONNX TensorRT or OpenVINO for performance and edge deployment. Implement quantization pruning and benchmarking pipelines.
Edge AI Enablement (Optional but Valuable): Deploy models on edge devices (e.g. NVIDIA Jetson Coral Raspberry Pi) and manage updates and logs remotely.
Collaboration & Support: Partner with Data Scientists to productionize experiments and guide model selection based on deployment constraints. Work with DevOps to integrate ML models into CI/CD pipelines and cloud-native architecture.
Required Qualifications:
Bachelors or Masters in Computer Science Engineering or a related field.
Sound experience in ML engineering with significant work in computer vision and model operations.
Strong coding skills in Python and familiarity with scripting for automation.
Hands-on experience with PyTorch TensorFlow OpenCV and model lifecycle tools like MLflow DVC or SageMaker.
Solid understanding of containerization and orchestration (Docker Kubernetes).
Experience with cloud services (AWS/GCP/Azure) for model deployment and storage.
Preferred Qualifications:
Experience with real-time video analytics or image-based inference systems.
Knowledge of MLOps best practices (model registries lineage versioning).
Familiarity with edge AI deployment and acceleration toolkits (e.g. TensorRT DeepStream).
Exposure to CI/CD pipelines and modern DevOps tooling (Jenkins GitLab CI ArgoCD).
Contributions to open-source ML/CV tooling or experience with labeling workflows (CVAT Label Studio).
Why join Genpact
Come join the 140000 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 or training.
Required Experience:
Manager
Full-Time