Machine Learning Engineer

4 days ago

New Delhi, India INSPYR Solutions Full time

Position 1 :MLOps Engineer II (Mid-Level) Location : Remote (Night Shift – 10 PM to 7 AM CST) Contract : 12 months (Renewable) Start Date : December 1, 2025Role Overview We are seeking aproficient MLOps Engineer (Level II)with 2–4 years of experience inML operations, pipelines, and production deployments . The ideal candidate will be hands-on, detail-oriented, and capable of working independently to ensure ML models are deployed, monitored, and maintained effectively.Responsibilities Deploy and maintain ML models in production (AWS SageMaker, MLflow, Kubeflow). Manage CI/CD pipelines and infrastructure as code (Terraform, ArgoCD). Support ETL/data workflows using Airflow or Astronomer. Collaborate with data scientists to transition models into production environments. Troubleshoot issues, perform root cause analysis, and drive remediation.Qualifications 2–4 years of experience inMLOps or DevOps . Strong Python skills for automation & workflow management. Hands-on with cloud ML tools and orchestration frameworks. Familiarity with CI/CD and monitoring best practices.Position 2 :MLOps Engineer III (Senior-Level) Location : Remote (Night Shift – 10 PM to 7 AM CST) Contract : 12 months (renewable) Start Date : December 1, 2025Role Overview We are hiring aSenior MLOps Engineer (Level III)with 4–6 years of experience designing and scalingML infrastructure . This role requires technical leadership, mentorship, and deep expertise in automation and hybrid environments. The Engineer III will set best practices, lead monitoring strategies, and ensure reliable integration across teams.Responsibilities Lead design ofscalable MLOps frameworksand automation strategies. Build and optimize monitoring/alerting systems fordrift, accuracy, and latency . Manage governance and versioning with GitHub Enterprise and JFrog Artifactory. Enhance deployment/retraining pipelines (Terraform, ArgoCD). Partner with Big Data and Work Routing teams for system reliability. Mentor junior engineers and leadknowledge transfer sessions .Qualifications 4–6 years of experience inMLOps, DevOps, or ML Engineering . Advanced proficiency in automation, pipelines, andhybrid infra (on-prem + cloud) . Hands-on expertise with Terraform, ArgoCD, and orchestration tools. Strong leadership and communication skills.Why Join? Be part of anINSPYR Solutions Managed Service team . Work on cutting-edgeproduction ML infrastructure . Fast selection : one interview with the hiring manager. Opportunity to contribute to along-term, high-impact engagement .

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