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Senior Machine Learning Engineer

Hybrid in Argentina,
& 4 others
Machine Learning Engineering
& 7 others
Argentina

We are seeking a Senior Machine Learning Engineer to enhance our data ecosystem and build scalable machine learning systems.

This position involves collaborating with cross-functional teams to refine legacy data, establish foundational systems, and enable MLOps frameworks in a cloud-based setting.

Responsibilities
  • Develop GCP Type 2 MLOps platforms to automate processes like experimentation, model training pipelines, and deployment
  • Collaborate with teams to design scalable and durable data infrastructure in cloud environments
  • Handle large-scale datasets to clean, transform, and optimize them for machine learning purposes
  • Build reliable systems to improve data quality and accessibility across diverse projects
  • Leverage SQL to perform advanced data manipulation, querying, and transformation across use cases
  • Use programming skills in Python to create tools and scripts for data integration and processing
  • Ensure smooth integration of tools like BigQuery, Vertex AI Platform, and other third-party systems
  • Communicate clearly across distributed teams to achieve aligned project goals
Requirements
  • 3+ years of experience in software development with a focus on machine learning engineering
  • Robust understanding of MLOps frameworks, associated tools, and workflows
  • Proficiency in Google Cloud Platform technologies, including BigQuery, Vertex AI Platform, Dataform, or Dataplex, paired with the flexibility to adapt to Amazon Cloud or Azure tools
  • Expertise in SQL for advanced data transformations and queries
  • Skills in Python for building efficient data integration tools and systems
  • Background in managing and optimizing cloud-based environments and large-scale datasets
  • Strong verbal and written communication skills to collaborate on distributed team projects
Nice to have
  • Familiarity with Dataform and Google Dataplex to enhance data management capabilities
  • Knowledge of Google Cloud BigQuery to streamline data operations
  • Proficiency in Python for solving advanced data integration challenges
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