MLOps Engineer
MLOps Engineer - Apply Now
Job Description
We are looking for a highly skilled MLOps Engineer to build, deploy, monitor, and maintain machine learning models in production environments. The ideal candidate should have expertise in cloud platforms, CI/CD pipelines, containerization, and automation to ensure scalable and reliable AI solutions.
Responsibilities
Deploy and monitor machine learning models in production.
Build and maintain CI/CD pipelines for ML workflows.
Automate model training, testing, and deployment processes.
Manage Kubernetes clusters and Docker containers.
Monitor model performance and retrain models when required.
Collaborate with data scientists, AI engineers, and DevOps teams.
Qualifications / Skills
Bachelor's degree in Computer Science, Artificial Intelligence, Data Science, or a related field.
Strong knowledge of Python, Docker, and Kubernetes.
Experience with AWS, Microsoft Azure, or Google Cloud Platform.
Familiarity with MLflow, Kubeflow, Jenkins, GitHub Actions, or similar tools.
Excellent analytical, automation, and troubleshooting skills.
Salary
₹16,00,000 – ₹32,00,000 per year (depending on experience, certifications, and location).
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