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Senior Machine Learning Engineer

Remote in Colombia, Mexico
Machine Learning Engineering
& 7 others

We are seeking a skilled and experienced Senior Machine Learning Engineer to join our team. This role is ideal for a professional looking to leverage their expertise in AI and machine learning to drive innovative projects and solutions. The successful candidate will contribute to the development and optimization of our advanced machine learning models and systems, ensuring they meet the high standards required for our diverse applications.

Responsibilities
  • Design and develop machine learning models to solve complex problems
  • Collaborate with cross-functional teams to understand business requirements and identify opportunities for leveraging machine learning
  • Implement scalable machine learning systems in a production environment
  • Conduct extensive data analysis and testing to ensure the accuracy and reliability of models
  • Optimize existing machine learning models for better performance and efficiency
  • Guide junior engineers and provide technical leadership in machine learning projects
  • Stay up-to-date with the latest machine learning techniques and technologies
  • Evaluate and integrate new datasets to improve model functionality
  • Document machine learning processes and model architectures
  • Present technical findings and models to stakeholders and team members
Requirements
  • Minimum of 3 years of experience in Machine Learning Engineering, with a strong emphasis on AWS technologies
  • Proficiency in working with Amazon Bedrock for building and deploying machine learning solutions
  • Extensive experience with Amazon SageMaker for creating and managing machine learning models
  • In-depth knowledge of Amazon S3 for data storage and management in machine learning applications
  • Advanced skills in Python programming, specifically for developing machine learning models
  • Expertise in Natural Language Processing (NLP) techniques and applications
  • Strong background in Deep Learning methodologies and their practical applications
  • Experience in Prompt Engineering for enhancing machine learning model interactions
  • Proficient in Sentiment Analysis and its implementation in real-world scenarios
  • Capable of conducting Model Evaluation specifically for NLP to ensure model effectiveness
  • Fluent English communication skills at a B2 level or higher, for effective team collaboration and stakeholder engagement
Nice to have
  • Experience with additional cloud platforms like Google Cloud or Microsoft Azure
  • Familiarity with other programming languages such as R or Java
  • Certifications in machine learning, data science, or related 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