AI Infrastructure Engineer (DevOps/MLOps)

As an AI Infrastructure Engineer (DevOps/MLOps) at Techvantage.ai, you will play a crucial role in building and managing the cloud infrastructure, deployment pipelines, and machine learning operations behind our AI-powered products. Your responsibilities will include designing and managing CI/CD pipelines for software applications and machine learning workflows, deploying and monitoring ML models in production, automating infrastructure provisioning and configuration using IaC tools, building monitoring and alerting systems for AI applications, managing containerized services, and optimizing compute resources and storage costs across cloud environments. You will collaborate closely with data scientists and ML engineers to streamline model experimentation, versioning, and deployment. Your expertise in cloud platforms such as AWS, GCP, or Azure, along with hands-on experience in DevOps, MLOps, or infrastructure engineering roles, will be essential in ensuring the reliability, scalability, and security of our systems. Proficiency in CI/CD tools, Docker, Kubernetes, infrastructure-as-code frameworks, and scripting languages like Python and Bash will be key to your success in this role. Preferred qualifications include experience with tools like Kubeflow, MLflow, DVC, or Triton Inference Server, as well as certifications in AWS/GCP DevOps or Machine Learning Engineering. A background in software engineering, data engineering, or ML research would be a bonus. At Techvantage.ai, you will have the opportunity to work on cutting-edge AI platforms and infrastructure, collaborate with top ML, research, and product teams, and enjoy a competitive compensation package with no constraints for the right candidate.,