Back to SearchSenior Machine Learning Engineer
Colombia
We are seeking a skilled Senior Machine Learning Engineer to enhance our team.
This role is ideal for a professional with AI and machine learning expertise, ready to drive innovative projects and solutions. The successful candidate will be instrumental in optimizing and advancing our machine learning models and systems to meet diverse application requirements.
Responsibilities
- Design machine learning models to solve complex problems
- Collaborate with cross-functional teams to identify business needs and apply machine learning strategies
- Build and manage scalable machine learning infrastructures for production
- Analyze datasets to verify model accuracy and reliability
- Boost the performance and scalability of existing machine learning models
- Guide junior engineers and direct machine learning projects
- Stay updated on the latest advancements in machine learning technology
- Incorporate new data sources to expand model functionality
- Create detailed technical documentation for machine learning workflows and model designs
- Present technical findings and model outcomes to team members and stakeholders
Requirements
- 3+ years of experience in Machine Learning Engineering with expertise in AWS environments
- Proficiency in Amazon Bedrock for creating and deploying machine learning solutions
- Competency in using Amazon SageMaker for managing machine learning models
- Understanding of Amazon S3 for efficient data storage and handling in machine learning applications
- Advanced skills in Python for the development of machine learning models
- Expertise in Natural Language Processing (NLP) and its applications
- Background in Deep Learning and its practical implementation
- Knowledge of Prompt Engineering to optimize model interaction
- Experience conducting Sentiment Analysis in real-world scenarios
- Qualifications in Model Evaluation for NLP with a focus on performance assessment
- English proficiency at a B2 level or higher for effective communication
Nice to have
- Familiarity with other cloud platforms like Google Cloud or Microsoft Azure
- Skills in programming languages such as R or Java
- Relevant 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