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Senior Machine Learning Engineer

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

We are on the lookout for a seasoned Senior Machine Learning Engineer to strengthen our team. This position is perfect for a professional eager to apply their AI and machine learning expertise to spearhead transformative projects and solutions. The selected candidate will play a key role in enhancing and refining our sophisticated machine learning models and systems, aligning them with the diverse needs of our applications.

Responsibilities
  • Architect and engineer machine learning models to address complex challenges
  • Work alongside multidisciplinary teams to grasp business needs and explore machine learning opportunities
  • Deploy robust machine learning infrastructures in live environments
  • Perform thorough data evaluations and tests to validate model precision and dependability
  • Enhance the performance and efficiency of current machine learning models
  • Mentor junior engineers and lead machine learning initiatives
  • Keep abreast of emerging machine learning trends and technologies
  • Assess and assimilate new data sources to augment model capabilities
  • Record detailed documentation of machine learning procedures and model structures
  • Communicate technical insights and model results to stakeholders and team members
Requirements
  • At least 3 years of professional experience in Machine Learning Engineering, with a focus on AWS technologies
  • Demonstrated proficiency with Amazon Bedrock for the development and deployment of machine learning solutions
  • Comprehensive experience in utilizing Amazon SageMaker to develop and manage machine learning models
  • Profound understanding of Amazon S3 for effective data storage and handling in machine learning projects
  • Advanced proficiency in Python for machine learning model development
  • Specialized knowledge in Natural Language Processing (NLP) and its applications
  • Extensive experience with Deep Learning techniques and their implementation
  • Skilled in Prompt Engineering to improve machine learning model interaction
  • Adept in implementing Sentiment Analysis in practical scenarios
  • Ability to perform effective Model Evaluation for NLP to verify model performance
  • Fluent in English at a B2 level or higher, necessary for efficient team collaboration and communication with stakeholders
Nice to have
  • Experience with other cloud platforms such as Google Cloud or Microsoft Azure
  • Knowledge of additional programming languages like R or Java
  • Relevant certifications in machine learning, data science, or associated fields
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