Capgemini · 2 months ago
Computer vision engineer (contract)
Atlanta, GA
Contract
Onsite
Senior Level
$42.35/hr - $66.18/hr
5+ years expCapgemini is seeking a highly skilled Computer Vision Engineer with strong system-level engineering capabilities and hands-on experience in building, deploying, and optimizing computer vision workloads. The role involves designing and deploying computer vision models, managing CI/CD workflows, and collaborating with cross-functional teams to deliver production-ready applications.
ConsultingInformation TechnologyInsurTechIT ManagementSoftware
Responsibilities
Design, develop, and deploy computer vision models for object detection, image segmentation, classification, and video analytics, using frameworks such as PyTorch or TensorFlow
Build scalable pipelines for training, inference, and model serving, leveraging containerization (Docker) and orchestration frameworks
Develop and manage CI/CD workflows (Jenkins, GitHub Actions, GitLab CI) to automate model integration, validation, and deployment
Engineer robust system-level architectures on GCP (preferred) including Compute Engine, Cloud Storage, GKE, AI Platform, IAM, VPC networking, and logging/monitoring services
Implement REST-based model serving using FastAPI, Flask, or TensorFlow Serving to support real-time and batch inference
Ensure infrastructure reliability through strong foundations in Linux systems, networking concepts, and general cloud security best practices
Collaborate with data engineering, platform, and product teams to deliver optimized, production-ready CV applications
Support performance tuning, resource optimization, and incident troubleshooting across development, staging, and production environments
Maintain high standards for code quality, documentation, and compliance, including considerations for data privacy and PII handling
Qualification
Required
Bachelor's or Master's degree in Computer Science, Electrical Engineering, AI/ML, or related discipline
5+ years of experience in computer vision, machine learning, or AI systems engineering
Proven experience deploying production CV models in cloud environments
Strong analytical, debugging, and problem-solving skills
Demonstrated ability to work independently and lead technical initiatives
System-Level Expertise
Docker containerization and production-grade deployment workflows
CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI)
Strong proficiency in Linux; familiarity with Windows environments
Networking fundamentals: DNS, VPNs, firewalls, VPC routing
Cloud engineering with GCP (Compute Engine, Cloud Storage, AI Platform, GKE, IAM, VPC, monitoring)
AI & Computer Vision Fundamentals
Expertise in object detection, segmentation, classification, and video analytics
Strong experience with CNNs and deep learning frameworks (PyTorch or TensorFlow)
Model deployment and serving via REST APIs (FastAPI, Flask, TensorFlow Serving)
Preferred
MLOps tools: MLFlow, Kubeflow, Airflow
Monitoring/logging stacks: Prometheus, Grafana, ELK
Understanding of security, data privacy, and PII governance
Experience with distributed model training or GPU optimization
Benefits
Medical
Dental
Vision
Retirement benefits
Company
Capgemini
Capgemini is a software company that provides consulting, technology, and digital transformation services.
10001+ employees
H1B Sponsorship
Capgemini has a track record of offering H1B sponsorships. Please note that this does not
guarantee sponsorship for this specific role. Below presents additional info for your
reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2856)
2024 (3012)
2023 (3424)
2022 (4392)
2021 (3311)
2020 (5871)
Funding
Current Stage
Public CompanyTotal Funding
$4.72B2025-09-18Post Ipo Debt· $4.72B
1999-04-01IPO
Leadership Team
Aiman Ezzat
CEO, Capgemini Group
Anirban Bose
CEO of Americas Strategic Business Unit
Recent News
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