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Senior Machine Learning Engineer

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

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

This role is ideal for a professional eager to utilize their AI and machine learning expertise to drive innovative projects and solutions. The chosen individual will play a pivotal role in advancing and optimizing our machine learning models and systems, aligning them with various application demands.

Responsibilities
  • Design machine learning models to solve intricate challenges
  • Collaborate with cross-functional teams to understand business needs and identify machine learning possibilities
  • Implement scalable machine learning infrastructures in production environments
  • Conduct comprehensive data analysis and model evaluations to ensure accuracy and reliability
  • Optimize the performance and functionality of existing machine learning models
  • Provide guidance to junior engineers and lead machine learning-focused projects
  • Stay informed of the latest advancements in machine learning trends and technologies
  • Evaluate and adopt new data sources to enhance model effectiveness
  • Develop clear and detailed documentation of machine learning protocols and model architectures
  • Present technical findings and model outcomes to stakeholders and team members
Requirements
  • 3+ years of experience as a Machine Learning Engineer, with expertise in AWS technologies
  • Proficiency in Amazon Bedrock for crafting and deploying machine learning solutions
  • Competency in Amazon SageMaker for building and managing machine learning models
  • Understanding of Amazon S3 for efficient data storage and management in machine learning contexts
  • Advanced skills in Python for creating machine learning models
  • Expertise in Natural Language Processing (NLP) and its practical applications
  • Background in applying Deep Learning techniques to real-world scenarios
  • Knowledge of Prompt Engineering to enhance model-user interactions
  • Qualifications in implementing Sentiment Analysis effectively
  • Capability to perform Model Evaluation for NLP to assess model efficacy
  • B2-level English fluency or higher for seamless team collaboration and stakeholder communications
Nice to have
  • Familiarity with additional cloud platforms, such as Google Cloud or Microsoft Azure
  • Understanding of other programming languages like R or Java
  • Relevant 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