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 Employment
What 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 retrainingImplement CI / CD workflows for ML models using Jenkins, GitHub Actions, or ArgoCDAutomate model deployment using Docker, Kubernetes, and KubeflowCollaborate with data scientists and ML engineers to productionize models and ensure reproducibilityMonitor model performance and data drift, enabling timely retraining and updatesManage model versioning, lineage, and governanceIntegrate ML workflows with cloud platforms (GCP Vertex AI, AWS SageMaker, Azure ML)Implement logging, monitoring, and alerting systems for deployed ML servicesOptimize ML workloads for scalability, efficiency, and cost-effectivenessEnsure 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 MLOpsStrong 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, TFXFamiliarity 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 managementUnderstanding of Agile / Scrum delivery practicesBenefits :
Competitive salary and benefits packageCulture focused on talent development with quarterly growth opportunities and company-sponsored higher education and certificationsOpportunity to work with cutting-edge technologiesEmployee engagement initiatives such as project parties, flexible work hours, and Long Service awardsAnnual health check-upsInsurance 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.”