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Senior Machine Learning Engineer

Remote in Colombia, Mexico
Machine Learning Engineering
& 7 others
Colombia

We are seeking a seasoned Senior Machine Learning Engineer to bolster our team.

This role is ideal for a professional eager to leverage their AI and machine learning expertise to drive transformative projects and solutions. The chosen candidate will play a vital role in advancing and fine-tuning our sophisticated machine learning models and systems, ensuring alignment with the diverse requirements of our applications.

Responsibilities
  • Design machine learning models to solve complex problems
  • Collaborate with multidisciplinary teams to understand business needs and identify machine learning opportunities
  • Deploy reliable machine learning infrastructures in production environments
  • Conduct detailed data analysis and testing to confirm model performance and accuracy
  • Improve the efficiency and effectiveness of current machine learning models
  • Provide mentorship to junior engineers and oversee machine learning initiatives
  • Stay updated on emerging trends and innovations in machine learning
  • Evaluate and integrate new data sources to expand model capabilities
  • Document machine learning processes and model frameworks comprehensively
  • Share technical insights and model outcomes with stakeholders and team members
Requirements
  • Minimum of 3 years professional experience in Machine Learning Engineering, with AWS technologies
  • Proficiency in Amazon Bedrock for building and deploying machine learning solutions
  • Experience in Amazon SageMaker for developing and managing machine learning models
  • Understanding of Amazon S3 for data storage and handling within machine learning projects
  • Advanced proficiency in Python for machine learning model creation
  • Background in Natural Language Processing (NLP) and its applications
  • Expertise in Deep Learning techniques and associated implementations
  • Skills in Prompt Engineering to enhance machine learning model interactions
  • Competency in performing Sentiment Analysis in practical applications
  • Qualifications in Model Evaluation for NLP to ensure model effectiveness
  • Familiarity with English at a B2 level or higher for team collaboration and communication with stakeholders
Nice to have
  • Background in other cloud platforms such as Google Cloud or Microsoft Azure
  • Skills in additional programming languages like R or Java
  • Qualifications in machine learning, data science, or related disciplines
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