Information Technology_USA – USA_Developer

Job Summary:

We are seeking a skilled and proactive Mops Engineer to join our team and operationalize machine learning models  ideal candidate will have experience in deploying, monitoring, and maintaining ML models in production environments, and will work closely with data scientists, software engineers, and Dev Ops teams to ensure seamless integration and performance.

• Design, build, and maintain scalable ML infrastructure and pipelines.
• Automate model deployment, versioning, and rollback processes.
• Monitor model performance and data drift in production.
• Collaborate with data scientists to transition models from experimentation to production.
• Implement CI/CD workflows for ML systems.
• Ensure compliance with data governance and security standards.
• Optimize resource usage and cost‑efficiency of ML workloads.
• Maintain documentation and best practices for Mops processes.

• Bachelor’s or Master’s degree in Computer Science, Engineering, or related field.
• 3+ years of experience in Mops, Dev Ops, or ML Engineering.
• Proficiency in Python and ML frameworks (e.g., Tensor Flow, PyTorch, Scikit‑learn).
• Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes).
• Familiarity with ML lifecycle tools (MLflow, Kubeflow, Sage Maker, etc.).
• Strong understanding of CI/CD, Git, and automation tools.
• Excellent problem‑solving and communication skills.

• Experience with data versioning tools (e.g., DVC).
• Knowledge of feature stores and model registries.
• Exposure to real‑time inference and streaming data systems.

Sys Mind