MLOps Engineer
Job description
Role : MLOPS Engineer Organization : Artiset Job location : Mumbai Work mode : Hybrid • 3–6 years in operationalizing AI/ML models with proven experience in CI/CD automation. • Prior exposure to deploying ML pipelines for NLP, computer vision, or speech systems. • Familiarity with monitoring, model lifecycle management, and performance logging.
Requirements
•Infrastructure Tools: Jenkins, GitLab CI/CD, Docker, Kubernetes. •Monitoring & Logging: Prometheus, Grafana, ELK Stack. •ML Lifecycle Management: MLflow, Kubeflow, DVC. •Cloud Platforms: AWS SageMaker, Azure ML Studio, GCP Vertex AI. •Core: Python, Bash scripting, YAML/JSON configuration, Linux systems. •CI/CD: Jenkins, GitLab CI, or GitHub Actions for automated deployments,Terraform •Governance: Traceability and Responsible AI compliance in deployment
Qualifications
•B. Tech / M.Tech in Computer Science, AI/ML, or related discipline. •Certifications in DevOps or Cloud Infrastructure (AWS, Azure, or GCP) preferred. •Research papers, case studies, or significant open-source contributions (are preferred)
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About
At RSNGINFO, we prioritize customer needs and dedicate ourselves to quality creations that aim to meet every aspect of our client’s requirements. We collaborate and contribute our expertise to adapt the best ways to improve our product services that are accessible, light, and easy to implement.