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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 position is tailored for a professional eager to apply their AI and machine learning expertise to lead transformative projects and solutions. The selected candidate will significantly contribute to advancing and refining our cutting-edge machine learning models and systems to meet the diverse demands of our applications.

Responsibilities
  • Design machine learning models to address complex challenges
  • Collaborate with multidisciplinary teams to understand business needs and identify machine learning opportunities
  • Deploy robust machine learning infrastructures in live environments
  • Conduct thorough data evaluations to ensure model precision and reliability
  • Improve the performance and efficiency of existing machine learning models
  • Provide mentorship to junior engineers and lead machine learning projects
  • Stay informed about emerging machine learning trends and technologies
  • Evaluate and integrate new data sources to enhance model capabilities
  • Document detailed procedures and architectures of machine learning models
  • Present technical insights and model outputs to stakeholders and team members
Requirements
  • 3+ years of professional experience in Machine Learning Engineering, with a focus on AWS technologies
  • Proficiency in Amazon Bedrock for developing and deploying machine learning solutions
  • Extensive use of Amazon SageMaker for model development and management
  • Understanding of Amazon S3 for efficient data storage and management in machine learning projects
  • Advanced expertise in Python for machine learning model creation
  • Knowledge of Natural Language Processing (NLP) and its applications
  • Background in Deep Learning techniques and their practical application
  • Skills in Prompt Engineering to optimize model interaction
  • Competency in effectively applying Sentiment Analysis in real-world scenarios
  • Capability to execute Model Evaluation for NLP to ensure performance metrics are met
  • Proficiency in English at a B2 level or higher for effective collaboration and communication
Nice to have
  • Familiarity with other cloud platforms such as Google Cloud or Microsoft Azure
  • Qualifications in additional programming languages like R or Java
  • Background in obtaining 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