MLOps Engineer

3 weeks ago

New Delhi, India Persistent Systems Full time

About Position:We are hiring a skilled MLOps Engineer to build and manage robust ML pipelines that support scalable, secure, and automated deployment of machine learning models. This role is critical in enabling seamless collaboration between data science, engineering, and DevOps teams for enterprise-grade AI/ML adoption.Role: MLOps Engineer Location: All Persistent Location Experience: 5 to 8 years Job Type: Full Time EmploymentWhat You'll Do:You will design and automate ML pipelines, deploy models at scale, and ensure operational excellence across AI/ML systems. Build and manage end-to-end MLOps pipelines for model training, testing, deployment, monitoring, and retraining Implement CI/CD workflows for ML models using Jenkins, GitHub Actions, or ArgoCD Automate model deployment using Docker, Kubernetes, and Kubeflow Collaborate with data scientists and ML engineers to productionize models and ensure reproducibility Monitor model performance and data drift, enabling timely retraining and updates Manage model versioning, lineage, and governance Integrate ML workflows with cloud platforms (GCP Vertex AI, AWS SageMaker, Azure ML) Implement logging, monitoring, and alerting systems for deployed ML services Optimize ML workloads for scalability, efficiency, and cost-effectiveness Ensure adherence to security, compliance, and responsible AI practices in MLOpsExpertise You'll Bring:You’ll bring hands-on experience in MLOps engineering, cloud-native platforms, and automation tools, with a strong focus on reliability and scalability. 5–8 years of IT/DevOps/Data Engineering experience, with at least 3+ years in MLOps Strong programming skills in Python (experience with ML/AI libraries is a plus) Hands-on with CI/CD pipelines (Jenkins, GitHub Actions, GitLab CI, ArgoCD) Proficiency in containerization & orchestration (Docker, Kubernetes) Experience with MLOps tools: MLflow, Kubeflow, Airflow, TFX Familiarity with cloud ML services (Vertex AI, SageMaker, Azure ML) Knowledge of model monitoring frameworks (Prometheus, Grafana, Evidently AI) Strong background in version control (Git) and artifact management Understanding of Agile/Scrum delivery practicesBenefits: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 parentsValues-Driven, People-Centric & Inclusive Work Environment:Persistent Ltd. 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 employmentLet’s unleash your full potential at Persistent -persistent.com/careers“Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind.”

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