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Senior Machine Learning Engineer

Remote in Colombia, Mexico
Data Science
& 4 others
Colombia

We are seeking a highly skilled Senior Machine Learning Engineer to join our remote team of experts. In this role, you will be responsible for designing, developing, and implementing Machine Learning models and algorithms to solve complex business problems. You will work with cross-functional teams to identify and define business objectives, gather and analyze data, and develop strategies to improve business performance.

Responsibilities
  • Design and develop Machine Learning models and algorithms to solve complex business problems
  • Collaborate with cross-functional teams to identify and define business objectives, gather and analyze data, and develop strategies to improve business performance
  • Develop and deploy Machine Learning models in production environments
  • Perform data analysis and visualization to identify trends and patterns
  • Develop and maintain Machine Learning pipelines and workflows
  • Provide technical leadership and mentorship to junior team members
  • Stay up-to-date with the latest trends and developments in Machine Learning and Data Science
Requirements
  • Bachelor's or Master's degree in Computer Science, Statistics, Mathematics, or a related field
  • Minimum of 3 years of experience in Data Science and Machine Learning
  • Expertise in Dash, Plotly, Python, and ReactJS
  • Strong understanding of Machine Learning algorithms and statistical models
  • Experience in developing and deploying Machine Learning models in production environments
  • Excellent analytical and problem-solving skills
  • Strong communication skills and the ability to work effectively in cross-functional teams
  • Fluent English language skills with an Upper-Intermediate level
Nice to have
  • Experience in Flask and Microsoft Azure
  • Experience in Natural Language Processing (NLP) and Computer Vision (CV)
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