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Senior Data DevOps Engineer

Remote in Colombia, Portugal
Data DevOps
& 10 others

We are seeking a highly skilled Senior Data DevOps Engineer to join our team and play an integral role in transforming cloud-based systems, optimizing costs, improving reliability, and enabling advanced analytics for the real estate industry. This is an opportunity to work with cutting-edge technologies in an environment that values innovation, automation, and scalability.

Responsibilities
  • Manage and optimize the end-to-end lifecycle of machine learning systems
  • Collaborate with business stakeholders to frame ML problems from business objectives
  • Develop, implement, and maintain data solutions addressing ML challenges
  • Design and build automated ML pipelines to streamline production workflows
  • Orchestrate data preparation pipelines using tools like Kubeflow or Airflow
  • Deploy ML models to production systems for real-time or batch applications
  • Monitor ML models in production, ensuring optimal performance and reliability
  • Leverage GCP tools such as Vertex AI and Vertex AI Pipelines to manage operations
  • Automate infrastructure provisioning and deployment leveraging Terraform
  • Optimize and improve system availability, cost efficiency, and deployment timelines
  • Implement CI/CD pipelines for seamless deployment using tools like Jenkins
Requirements
  • 3+ years of experience in designing, deploying, and maintaining ML systems in production
  • Proficiency in Python with expertise in developing and automating ML workflows
  • Expertise in cloud platforms with a focus on GCP tools such as Vertex AI and Vertex AI Pipelines
  • Competency in infrastructure-as-code (IaC) using Terraform
  • Experience with orchestration tools like Kubeflow or Airflow for data preparation pipelines
  • Familiarity with CI/CD best practices and tools such as Jenkins
  • Capability to monitor, optimize, and troubleshoot ML model performance in production
  • Strong verbal and written communication skills in English, at least at a B2 level
Nice to have
  • Experience in monitoring frameworks tailored for ML models
  • Understanding of ML deployment paradigms and scalability best practices
  • Showcase of successful production-grade ML model deployments at scale
  • Background in working within highly data-driven industries like real estate or finance
  • Flexibility to use advanced cloud-native tools for improved analytics and pipeline efficiency
We offer/Benefits
  • International projects with top brands
  • Work with global teams of highly skilled, diverse peers
  • Healthcare benefits
  • Employee financial programs
  • Paid time off and sick leave
  • Upskilling, reskilling and certification courses
  • Unlimited access to the LinkedIn Learning library and 22,000+ courses
  • Global career opportunities
  • Volunteer and community involvement opportunities
  • EPAM Employee Groups
  • Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn