Machine Learning Engineer

We are looking for a skilled Machine Learning Engineer to join our dynamic team in developing robust data assets and laying the groundwork for scalable machine learning systems.

This role involves collaborating with cross-functional teams to clean legacy data assets, build foundational systems, and implement MLOps frameworks in a cloud environment.

RESPONSIBILITIES

• Develop and implement GCP Type 2 MLOps platforms to automate processes such as experimentation, model training pipelines, and deployment
• Collaborate with teams to design and maintain scalable data infrastructure in a cloud environment
• Work with large-scale datasets to clean, transform, and optimize them for machine learning workflows
• Build, monitor, and refine systems to enhance data quality and accessibility across projects
• Utilize SQL for complex data manipulation, querying, and transformation to support multiple use cases
• Apply programming expertise in Python to develop tools and scripts for data processing and integration
• Ensure seamless integration between components such as BigQuery, Vertex AI Platform, and third-party tools
• Communicate effectively within distributed teams to align goals and ensure successful project delivery

REQUIREMENTS

• 2+ years of software development experience with a proven track record in machine learning engineering
• Robust understanding of MLOps frameworks, tools, and workflows
• Proficiency in Google Cloud Platform technologies including BigQuery, Vertex AI Platform, Dataform, or Dataplex, with flexibility to work on Amazon Cloud or Azure tools if needed
• Expertise in SQL for transforming and querying datasets efficiently
• Solid skills in programming languages such as Python for data integration and system development
• Background in managing large-scale datasets and cloud-based environments to optimize workflows
• Excellent verbal and written communication skills for collaboration across distributed teams

NICE TO HAVE

• Familiarity with Dataform and Google Dataplex for advanced data management capabilities
• Qualifications in Google Cloud BigQuery for streamlining data processes
• Showcase of using Python for complex data integration tasks

WE OFFER

• Career plan and real growth opportunities
• Unlimited access to LinkedIn learning solutions
• International Mobility Plan within 25 countries
• Constant training, mentoring, online corporate courses, eLearning and more
• English classes with a certified teacher
• Support for employee’s initiatives (Algorithms club, toastmasters, agile club and more)
• Enjoyable working environment (Gaming room, napping area, amenities, events, sport teams and more)
• Flexible work schedule and dress code
• Collaborate in a multicultural environment and share best practices from around the globe
• Hired directly by EPAM & 100% under payroll
• Law benefits (IMSS, INFONAVIT, 25% vacation bonus)
• Major medical expenses insurance: Life, Major medical expenses with dental & visual coverage (for the employee and direct family members)
• 13 % employee savings fund, capped to the law limit
• Grocery coupons
• 30 days December bonus
• Employee Stock Purchase Plan
• 12 vacations days plus 4 floating days
• Official Mexican holidays, plus 5 extra holidays (Maundry Thursday and Friday, November 2nd, December 24th & 31st)
• Relocation bonus: transportation, 2 weeks of accommodation for you and your family and more