APPLYDJINN
Vacancy catalog
EPAM
Open role>14 days

Lead Systems Engineer - Data DevOps/MLOps

EPAM
Coimbatore, India; Bengaluru, India; Hyderabad, India +3 more

Coimbatore, India; Bengaluru, India; Hyderabad, India; Chennai, India; Pune, India; Gurugram, India

Work model
Office
Experience
8+ years
Employment
Not specified
Compensation
Not disclosed
Technology signal
33 tags

Technology context

33

Parsed from the vacancy text; ordered by relevance to this role.

AWSMachine LearningAzurePythonGCPKubernetesPyTorchMLOpsTensorFlowCloudReliability EngineeringdbtDevOpsDockerScalabilityGitHub ActionsSparkTerraformMLflowJenkinsDatabricksAnsibleCI/CDPrometheusGrafanaAirflowGitData AnalysisData DevOpsInfrastructureKubeflowPandasTerraform Cloud

Full listing

Role description

We're looking for a talented and dedicated Lead Systems Engineer who brings Data DevOps/MLOps expertise to help enhance efficiency and drive innovation in our data and machine learning operations.

Responsibilities

  • Build, launch, and oversee CI/CD pipelines that enable smooth data integration and ML model rollout
  • Create a strong infrastructure foundation for training, processing, and serving machine learning models through cloud-based platforms
  • Streamline operations by automating essential workflows like data transformation, validation, and orchestration
  • Partner with cross-functional teams such as data engineers and scientists to bring ML solutions into live production environments
  • Enhance reliability, performance monitoring, and model serving within production systems
  • Maintain reproducibility, lineage tracking, and data versioning throughout ML workflows and experiments
  • Spot and act on opportunities to boost the infrastructure's resilience, efficiency, and scalability
  • Apply strict security protocols to protect data and maintain regulatory compliance
  • Troubleshoot and fix technical problems within ML deployment workflows and data pipelines

Requirements

  • A Bachelor's or Master's degree in Data Engineering, Computer Science, or a related area
  • Over 8 years working in MLOps, Data DevOps, or similar fields
  • Strong command of cloud platforms including GCP, AWS, or Azure
  • Proficiency with Infrastructure as Code tools such as Ansible, CloudFormation, or Terraform
  • Capability in orchestration and containerization technologies like Kubernetes and Docker
  • Practical experience using data processing frameworks such as Databricks and Apache Spark
  • Strong Python skills along with familiarity with libraries like PyTorch, TensorFlow, and Pandas
  • Familiarity with CI/CD tools including GitHub Actions, GitLab CI/CD, and Jenkins
  • Working knowledge of MLOps platforms and version control systems such as Kubeflow, MLflow, and Git
  • Awareness of alerting and monitoring tools such as Grafana and Prometheus
  • Solid ability to solve problems and make decisions independently
  • Strong skills in technical documentation and communication

Nice to have

  • Experience with DataOps tools and methodologies such as dbt or Airflow
  • Familiarity with data governance platforms such as Collibra
  • Exposure to Big Data technologies like Hive or Hadoop
  • Certifications demonstrating expertise in data engineering tools or cloud platforms