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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 join our team.

This position is tailored for a professional eager to apply their AI and machine learning expertise to lead transformative projects and solutions. The chosen candidate will play a pivotal role in enhancing and optimizing our advanced machine learning models and systems, ensuring alignment with diverse application needs.

Responsibilities
  • Design machine learning models to resolve complex problems
  • Collaborate with multidisciplinary teams to address business requirements and identify machine learning opportunities
  • Implement robust machine learning infrastructures in active environments
  • Conduct detailed data analysis and testing to ensure model accuracy and reliability
  • Optimize the performance and functionality of existing machine learning models
  • Provide mentorship to junior engineers and lead machine learning projects
  • Stay updated on advancements in machine learning trends and technologies
  • Evaluate and incorporate new data sources to improve model performance
  • Document machine learning workflows and model architectures comprehensively
  • Present technical insights and model outcomes to stakeholders and team members
Requirements
  • At least 3 years of professional experience in Machine Learning Engineering focusing on AWS technologies
  • Proficiency in Amazon Bedrock for designing and deploying machine learning solutions
  • Extensive background in Amazon SageMaker for creating and managing machine learning models
  • Thorough understanding of Amazon S3 for effective data storage and management in machine learning projects
  • Advanced skills in Python for developing machine learning models
  • Expertise in Natural Language Processing (NLP) and its practical applications
  • Strong background in Deep Learning techniques and implementations
  • Competency in Prompt Engineering to refine machine learning model interaction
  • Capability to implement Sentiment Analysis in real-world scenarios
  • Competency in conducting Model Evaluation for NLP to assess model effectiveness
  • Fluency in English at a B2 level or higher for efficient communication with teams and stakeholders
Nice to have
  • Familiarity with other cloud platforms like Google Cloud or Microsoft Azure
  • Qualifications in additional programming languages such as R or Java
  • Certifications 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