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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 skills to drive transformative projects and solutions. The chosen candidate will play a pivotal role in enhancing and optimizing our advanced 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
  • Implement robust machine learning infrastructures in live environments
  • Evaluate and analyze data to ensure model accuracy and reliability
  • Improve the performance and efficiency of existing machine learning models
  • Guide and support junior engineers while leading machine learning projects
  • Stay informed about the latest trends and advancements in machine learning technologies
  • Incorporate new data sources to boost model capabilities
  • Produce detailed documentation on machine learning techniques and model structures
  • Share technical insights and model outcomes with stakeholders and team members
Requirements
  • A minimum of 3 years of experience in Machine Learning Engineering, with expertise in AWS technologies
  • Proficiency in Amazon Bedrock for the creation and deployment of machine learning solutions
  • Extensive background in using Amazon SageMaker to develop and manage machine learning models
  • Comprehensive familiarity with Amazon S3 for effective data storage and handling in machine learning projects
  • Advanced expertise in Python for machine learning model development
  • In-depth knowledge of Natural Language Processing (NLP) and its practical applications
  • Demonstrated capability in applying Deep Learning techniques
  • Competency in Prompt Engineering to enhance model interaction
  • Skills in implementing Sentiment Analysis for practical use cases
  • Understanding of effective Model Evaluation for NLP to validate performance
  • Fluency in English at a B2 level or higher for seamless collaboration and stakeholder communication
Nice to have
  • Understanding of other cloud platforms, including Google Cloud or Microsoft Azure
  • Proficiency in additional programming languages such as 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