The Role
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.
Summary Generated by Built In
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
Skills Required
- 1-10 years of professional experience
- MLOps and machine learning model lifecycle management experience
- Python proficiency
- CI/CD for machine learning
- Docker and Kubernetes
- MLflow or Kubeflow
- Model deployment and monitoring
- Experience with AWS, Azure, or GCP
- Git and version control
- Terraform and infrastructure as code
- Immediate joining availability
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
Vrinda International is a Chandigarh-based recruitment and education consultancy connecting job seekers and employers through domestic and international IT and non-IT hiring. It also supports students with overseas university admissions, visa applications, education guidance, and test preparation for IELTS, PTE, and other programs. Its tech-enabled talent portal provides job matching and career pathways across India and global markets, alongside staffing partnerships.
