Job Description
Note: The job is a remote job and is open to candidates in USA. Net2Source (N2S) is seeking a Senior Industrial Vision Platform Engineer with a strong focus on DevOps and MLOps to design, build, and operate cloud-native computer vision platforms for automotive and industrial manufacturing environments. The role involves working closely with ML engineers and manufacturing teams to ensure scalable and reliable vision solutions. Responsibilities • Architect, build, and operate cloud-native industrial vision platforms supporting real-time and batch image/video processing workloads • Own DevOps and MLOps pipelines for computer vision systems, including build, test, deployment, monitoring, rollback, and version control • Design and maintain AWS-based infrastructure for ML workloads using services such as EC2, S3, EKS/ECS, Lambda, and SageMaker • Implement CI/CD pipelines for ML models and platform services using modern DevOps tooling • Manage containerized workloads using Docker and Kubernetes in production environments • Establish Infrastructure as Code (IaC) practices using Terraform or CloudFormation • Enable end-to-end ML lifecycle management , including model packaging, deployment, performance monitoring, and drift detection • Integrate vision platforms with manufacturing systems such as PLCs, MES, and plant data pipelines • Ensure platform reliability through observability, logging, alerting, and incident response best practices • Collaborate with ML and vision engineers to transition models from development into stable, scalable production systems • Support deployments across multiple manufacturing plants and environments Skills • 7+ years of professional software engineering experience with senior-level technical ownership • Strong proficiency in Python for backend services, automation, and ML workflows • Hands-on experience with cloud-native architecture on AWS, including: EC2, S3, IAM, VPC, EKS or ECS, SageMaker or equivalent ML services • Proven experience building and operating CI/CD pipelines (GitHub Actions, GitLab CI, Jenkins, or similar) • Strong experience with Docker and Kubernetes in production environments • Solid understanding of DevOps and MLOps practices, including model versioning, deployment, rollback, and monitoring • Practical experience supporting computer vision or ML systems in production • Experience delivering systems in manufacturing, automotive, or industrial environments • Experience with industrial computer vision use cases such as quality inspection, defect detection, or traceability • Exposure to edge or hybrid cloud deployments • Knowledge of industrial protocols such as OPC UA, MQTT, or Modbus • Familiarity with observability tools for ML systems (metrics, logs, alerts) • Prior experience supporting multi-plant or globally distributed platforms Company Overview • Net2Source (N2S) is a Minority owned global workforce solutions company recognized by SIA as the largest and fastest-growing Total Talent Solutions provider with a presence in 34 countries and in-house Glo-Cal (global and local) teams to support our clients. It was founded in 2007, and is headquartered in Somerset, New Jersey, USA, with a workforce of 1001-5000 employees. Its website is Company H1B Sponsorship • Net2Source (N2S) has a track record of offering H1B sponsorships, with 3 in 2025, 7 in 2024, 8 in 2022, 10 in 2021, 25 in 2020. Please note that this does not guarantee sponsorship for this specific role. Apply tot his job