Jobs → Engineering → ML/Ops Engineer

About the Role Innovix Technology is seeking an experienced ML/Ops Engineer to join their team. This role requires expertise in Machine Learning Operations, cloud infrastructure, automation, and production ML deployment. Key Responsibilities • Build and maintain end-to-end machine learning pipelines • Deploy, automate, and monitor ML models in production environments • Develop CI/CD pipelines for automated model training, testing, and deployment • Manage containerized applications using Docker and Kubernetes • Implement model versioning, experiment tracking, and lifecycle management • Monitor model performance, data drift, and system reliability • Work with cloud platforms such as AWS, Microsoft Azure, or GCP • Collaborate with Data Scientists, ML Engineers, and DevOps teams • Troubleshoot production issues and optimize ML infrastructure Requirements • Strong proficiency in Python • Hands-on experience in ML/Ops and production ML deployment • Experience with Docker and Kubernetes • Knowledge of CI/CD tools such as Jenkins, GitHub Actions, or GitLab CI/CD • Experience with AWS, Azure, or Google Cloud Platform • Familiarity with MLflow, Kubeflow, or similar ML lifecycle management tools • Knowledge of Apache Airflow or other workflow orchestration tools • Experience with Git, model monitoring, and production infrastructure