About Position:

We are looking for a highly skilled MLOps Engineer to bridge the gap between Data Science and Enterprise Operations by designing, deploying, and optimizing production-grade machine learning solutions. The ideal candidate will possess strong expertise in MLOps, cloud platforms, automation, and AI/ML infrastructure, with hands-on experience in operationalizing machine learning models at scale. This role requires building robust ML pipelines, implementing CI/CD for ML workloads, driving MLOps maturity initiatives, and enabling seamless integration of AI solutions into enterprise environments.

- Role: MLOps Engineer
- Location: Bangalore
- Experience: 5+ Years
- Job Type: Full-Time Employment

What You'll Do:

- Design, develop, and maintain end-to-end ML pipelines for model training, deployment, monitoring, and automated retraining.
- Build scalable and distributed ML infrastructure supporting enterprise-scale training and inference workloads.
- Implement workflow orchestration using Airflow, Kubeflow, or similar platforms.
- Drive MLOps maturity initiatives, including automation, governance, security, and operational excellence.
- Implement CI/CD, GitOps, Infrastructure-as-Code (IaC), and DevOps best practices for machine learning systems.

Expertise You'll Bring:

- Strong experience with MLOps platforms such as Vertex AI, SageMaker, Azure ML, or equivalent.
- Hands-on expertise in Kubernetes, including cluster management, scaling, and workload optimization.
- Experience with Docker, Terraform, and cloud-native infrastructure.
- Strong programming skills in Python and scripting using Bash.




- Experience with orchestration tools such as Apache Airflow and Kubeflow.
- Strong understanding of ML lifecycle management, model deployment, monitoring, and automation.
- Hands-on experience with AWS, Azure, or GCP cloud ecosystems.

Benefits:

- Market-competitive salary and benefits package
- Culture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certifications
- Opportunity to work with cutting-edge technologies
- Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards
- Annual health check-ups
- Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents

Values-Driven, People-Centric & Inclusive Work Environment:

Persistent is dedicated to fostering diversity and inclusion in the workplace. We invite applications from all qualified individuals, including those with disabilities, and regardless of gender or gender preference. We welcome diverse candidates from all backgrounds.

- We support hybrid work and flexible hours to fit diverse lifestyles.
- Our office is accessibility-friendly, with ergonomic setups and assistive technologies to support employees with physical disabilities.
- If you are a person with disabilities and have specific requirements, please inform us during the application process or at any time during your employment

Let's unleash your full potential at Persistent - persistent.com/careers

Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.

📌 MLOps Engineer (Bengaluru)
🏢 Persistent Systems
📍 Bengaluru