Design and manage machine learning model lifecycles, including deployment, monitoring, and production operations. Build machine learning CI/CD pipelines using Python, Docker, Kubernetes, MLflow or Kubeflow, and cloud platforms such as AWS, Azure, or GCP. Apply Git-based version control and potentially Terraform for infrastructure as code across AI/ML projects.
Hiring: MD-MLOps Engineer
We are hiring experienced MLOps Engineers for exciting AI/ML projects across PAN India.
• Role: MD-MLOps Engineer
• Experience: 1–10 Years
• Salary: ₹12 LPA – ₹60 LPA
• Location: PAN India
• Hiring Company: Hiringhood IT
• Joining Preference: Immediate Joiners
Requirements
Key Skills:
• MLOps & ML Model Lifecycle Management
• Python
• CI/CD for Machine Learning
• Docker & Kubernetes
• MLflow / Kubeflow
• Model Deployment & Monitoring
• AWS / Azure / GCP
• Git & Version Control
• Infrastructure as Code – Terraform is an advantage
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