Senior Machine Learning Engineer
Colombia
We are seeking a seasoned Senior Machine Learning Engineer to bolster our team.
This position is tailored for a professional eager to apply their AI and machine learning expertise to lead transformative projects and solutions. The selected candidate will significantly contribute to advancing and refining our cutting-edge machine learning models and systems to meet the diverse demands of our applications.
Responsibilities
- Design machine learning models to address complex challenges
- Collaborate with multidisciplinary teams to understand business needs and identify machine learning opportunities
- Deploy robust machine learning infrastructures in live environments
- Conduct thorough data evaluations to ensure model precision and reliability
- Improve the performance and efficiency of existing machine learning models
- Provide mentorship to junior engineers and lead machine learning projects
- Stay informed about emerging machine learning trends and technologies
- Evaluate and integrate new data sources to enhance model capabilities
- Document detailed procedures and architectures of machine learning models
- Present technical insights and model outputs to stakeholders and team members
Requirements
- 3+ years of professional experience in Machine Learning Engineering, with a focus on AWS technologies
- Proficiency in Amazon Bedrock for developing and deploying machine learning solutions
- Extensive use of Amazon SageMaker for model development and management
- Understanding of Amazon S3 for efficient data storage and management in machine learning projects
- Advanced expertise in Python for machine learning model creation
- Knowledge of Natural Language Processing (NLP) and its applications
- Background in Deep Learning techniques and their practical application
- Skills in Prompt Engineering to optimize model interaction
- Competency in effectively applying Sentiment Analysis in real-world scenarios
- Capability to execute Model Evaluation for NLP to ensure performance metrics are met
- Proficiency in English at a B2 level or higher for effective collaboration and communication
Nice to have
- Familiarity with other cloud platforms such as Google Cloud or Microsoft Azure
- Qualifications in additional programming languages like R or Java
- Background in obtaining certifications 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