Machine Learning Engineering & 7 others
EPAM Systems
Software Engineering, Data Science
Colombia · Remote
Posted on Nov 19, 2025
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
We offer/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