Machine Learning Operations and Site Reliability Engineer
Indium Software India
Work from Office
Full Time
Min. 2 yearsJob Description
ML Ops
Job Title: ML Ops / SRE Engineer (Machine Learning Platforms)
Job Description: • Maintain and support machine learning applications on Windows and Linux servers (on-premises) • Manage and troubleshoot Kubernetes clusters and Docker-based ML workloads • Collaborate with data scientists and engineers for model deployment and lifecycle management • Implement monitoring and alerting using DataDog to ensure system health and performance • Debug and resolve production issues using Python and monitoring tools • Automate operational tasks to improve reliability and scalability • Ensure best practices in security, performance, and availability • Document architecture, deployment processes, and troubleshooting guides Required Skills: • Strong experience with Windows and Linux systems in production environments • Hands-on experience with Kubernetes, Docker, and on-prem infrastructure • Proficiency in Python programming • Good understanding of ML workflows, model training, and evaluation • Experience in ML deployment and end-to-end model serving pipelines • Familiarity with monitoring tools (DataDog) • Experience troubleshooting distributed systems • Knowledge of CI/CD pipelines for ML applications • Exposure to AWS cloud platform • Background in DevOps / Site Reliability Engineering (SRE) Additional Skills: • Strong problem-solving and analytical abilities • Excellent communication and collaboration skillsJob role
Job requirements
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