MLOps Engineer
People prime →MLOps Engineer at People prime is a full time role based in Jaipur, Rajasthan, India. The listing states pay of ₹6,00,000–₹7,00,000 and asks for 4–5 yrs of experience. Listed skills: mlops, ml engineering, aws, gcp, azure and ci/cd. It was published on 22 June 2026 and was open at last check.
| Role | MLOps Engineer |
|---|---|
| Company | People prime |
| Location | Jaipur, Rajasthan, India |
| Employment type | Full Time |
| Pay (as listed) | ₹6,00,000–₹7,00,000 |
| Experience asked | 4–5 yrs |
| Skills listed | mlops, ml engineering, aws, gcp, azure and ci/cd |
| Published | 22 June 2026 |
| Status | Open at last check |
Role Overview As an MLOps Engineer, you will be the vital link between our Data Scientists and our Production Engineering teams. You will design, build, and maintain the infrastructure and pipelines that enable the rapid, reliable, and repeatable deployment, monitoring, and governance of machine learning models at scale. Your expertise will transform proof-of-concept models into high-impact production systems.
Key Responsibilities :
- ML Platform & Infrastructure:
- Design, implement, and manage scalable, secure, and cost-effective cloud infrastructure (GCP or Azure) for ML workloads (training, serving, batch inference).
- Containerize ML applications using Docker and orchestrate them with Kubernetes or managed services (EKS, GKE, AKS).
- CI/CD & Automation for ML:
- Build and maintain robust CI/CD pipelines specifically tailored for ML (MLOps pipelines) using tools like GitHub Actions, GitLab CI, Jenkins, or CircleCI.
- Automate the entire ML lifecycle: data validation, model training, evaluation, packaging, deployment, and rollback.
- Implement model versioning, data versioning (e.g., DVC), and experiment tracking (e.g., MLflow, Weights & Biases, Neptune) to ensure full reproducibility.
- Model Deployment & Serving: ● Monitoring, Observability & Governance:
Key Qualifications:
- Experience: 5-7 years of professional experience, with at least 3 years focused on MLOps, ML Engineering, or a related field in a production environment.
- Cloud & Infrastructure: Strong hands-on experience with at least one major cloud provider (AWS, GCP, Azure). Cloud certification is a plus.
- Containerization & Orchestration: Expertise in Docker and Kubernetes.
- CI/CD & Automation: Proven experience building and maintaining CI/CD pipelines. Understanding of MLOps principles and tools (MLflow, Kubeflow, etc.).
- Programming: Proficiency in Python and familiarity with common ML frameworks (scikit-learn, TensorFlow, PyTorch, XGBoost). Strong shell scripting skills.
- Data & Versioning: Experience with data pipeline tools (Apache Airflow, Prefect) and version control for data and models (DVC, Git LFS).
- Monitoring: Experience with observability tools for both infrastructure and model performance.
- Soft Skills: Excellent problem-solving, communication, and collaboration skills. Ability to translate complex technical concepts for diverse audiences. Proactive and self-motivated.
Educations:
- A Bachelor's or Master's degree in Computer Science, Software Engineering, Data Science, or a closely related technical/quantitative field is the standard foundation we look for.
- We value practical engineering skill over academic pedigree. Equivalent professional experience—proven through a strong track record of building and maintaining production ML systems—is often more relevant than a specific degree.
- Relevant certifications can be a plus (e.g., AWS Certified Machine Learning – Specialty, Google Professional ML Engineer, Kubernetes CKA/CKAD)
Create a free OnJob profile to apply and see your AI match score before you apply. · Posted 22 Jun 2026.
MLOps Engineer at People prime — questions answered
What does the MLOps Engineer role at People prime pay?
The MLOps Engineer at People prime listing states pay of ₹6,00,000–₹7,00,000 for the Jaipur, Rajasthan, India position. That figure is taken directly from the employer's own posting as published, not estimated or averaged from other roles, and the same listing asks for 4–5 yrs of experience.
Where is the MLOps Engineer role at People prime based?
People prime lists this MLOps Engineer role in Jaipur, Rajasthan, India, advertised as full time work at that location and asking for 4–5 yrs of experience. Larger employers sometimes cover several sites under one city name, so confirm the exact office with People prime before you apply.
What skills does the MLOps Engineer role at People prime require?
The MLOps Engineer at People prime listing names mlops, ml engineering, aws, gcp, azure and ci/cd. Those are the skills the employer put on the posting itself, so they are the ones worth matching in your profile and covering first in an interview.
How much experience do you need for the MLOps Engineer role at People prime?
People prime asks for 4–5 yrs of experience on this MLOps Engineer posting, alongside mlops, ml engineering and aws. Employers commonly consider candidates slightly under a stated band when the listed skills line up.
Is the MLOps Engineer role at People prime still open?
The MLOps Engineer posting at People prime was open at OnJob's last check of the employer's careers page, having been published on 22 June 2026. OnJob re-checks source listings on each build and marks a role closed once it disappears, but listings can close without notice, so the employer's own page is the final word.
How do you apply for the MLOps Engineer role at People prime?
Apply to the MLOps Engineer at People prime role through OnJob with a free profile: OnJob scores your fit against the listing, shows the skills lowering that score, and submits an ATS-ready profile. Creating a profile is free and needs no card.
Explore more on OnJob
Hiring for a role like this?
Post a job on OnJob and reach AI-matched candidates.
