Kefi Tech Solutions - AWS DevOps Engineer - MLOps

Role : AWS DevOps Engineer (ML & Personalization Services) Location: Remote (US Time Zone) Experience: 2 5 Years Salary: 6L 15L (Hide the Salary) Key Responsibilities : - Design, implement, and manage scalable ML infrastructure for personalization services. - Optimize Kubernetes deployments for ML training and inference workloads. - Build & maintain Ray Clusters for distributed ML workloads & parallel computing. - Automate CI/CD pipelines for efficient ML model deployment. - Implement observability & monitoring solutions using Prometheus, Datadog, and OpenTelemetry. - Debug and resolve production issues related to scaling, latency, and reliability. Required Skills & Experience : - 2 years in DevOps/Site Reliability Engineering (SRE). - Expertise in GCP, AWS, or Azure cloud platforms. - Hands-on experience with Kubernetes, Terraform, Helm, and CI/CD tools (GitHub Actions, Jenkins, GitLab CI). - Strong scripting skills in Python, Bash, or Go for automation. - Experience with TensorFlow model training & serving. - Proficiency in event-driven architectures (Kafka, Pub/Sub) & monitoring tools. - Experience in low-latency ML microservices and Argo CD is a plus. (ref:hirist.tech)

Location: in, IN

Posted Date: 4/17/2025