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Senior Machine Learning Engineer

Remote in Colombia, Mexico
Machine Learning Engineering
& 7 others

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

This position is ideal 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 optimizing and advancing our sophisticated machine learning models and systems, tailoring them to meet diverse application needs.

Responsibilities
  • Design and develop machine learning models to handle complex challenges
  • Collaborate with multidisciplinary teams to understand business needs and identify machine learning opportunities
  • Deploy reliable machine learning infrastructures in production environments
  • Conduct rigorous data analyses and tests to ensure model accuracy and reliability
  • Improve the performance and scalability of existing machine learning models
  • Provide mentorship to junior engineers and lead machine learning projects
  • Stay updated on the latest advancements in machine learning technologies and trends
  • Evaluate and incorporate new data sources to enhance model functionality
  • Draft detailed documentation for machine learning processes and model architectures
  • Present technical findings and model outcomes to stakeholders and team members
Requirements
  • A minimum of 3 years of experience in Machine Learning Engineering, emphasizing AWS technologies
  • Expertise in Amazon Bedrock for creating and deploying machine learning solutions
  • Background in using Amazon SageMaker to build and manage machine learning models
  • Understanding of Amazon S3 for efficient data storage and processing in machine learning workflows
  • Proficiency in Python for developing machine learning models
  • Knowledge of Natural Language Processing (NLP) and its associated implementations
  • Skills in Deep Learning methodologies and applications
  • Competency in Prompt Engineering to enhance machine learning model interactions
  • Capability to implement Sentiment Analysis effectively
  • Qualifications in conducting Model Evaluation for NLP to assess model performance
  • Fluency in English at a B2 level or higher for seamless collaboration and communication with stakeholders
Nice to have
  • Familiarity with cloud platforms such as Google Cloud or Microsoft Azure
  • Background 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