Senior Machine Learning Engineer
Colombia
We are seeking a seasoned Senior Machine Learning Engineer to join our team.
This position is ideal for a professional eager to apply their AI and machine learning expertise to lead transformative projects and solutions. The chosen candidate will play a pivotal role in optimizing and advancing our sophisticated machine learning models and systems, tailoring them to meet diverse application needs.
Responsibilities
- Design and develop machine learning models to handle complex challenges
- Collaborate with multidisciplinary teams to understand business needs and identify machine learning opportunities
- Deploy reliable machine learning infrastructures in production environments
- Conduct rigorous data analyses and tests to ensure model accuracy and reliability
- Improve the performance and scalability of existing machine learning models
- Provide mentorship to junior engineers and lead machine learning projects
- Stay updated on the latest advancements in machine learning technologies and trends
- Evaluate and incorporate new data sources to enhance model functionality
- Draft detailed documentation for machine learning processes and model architectures
- Present technical findings and model outcomes to stakeholders and team members
Requirements
- A minimum of 3 years of experience in Machine Learning Engineering, emphasizing AWS technologies
- Expertise in Amazon Bedrock for creating and deploying machine learning solutions
- Background in using Amazon SageMaker to build and manage machine learning models
- Understanding of Amazon S3 for efficient data storage and processing in machine learning workflows
- Proficiency in Python for developing machine learning models
- Knowledge of Natural Language Processing (NLP) and its associated implementations
- Skills in Deep Learning methodologies and applications
- Competency in Prompt Engineering to enhance machine learning model interactions
- Capability to implement Sentiment Analysis effectively
- Qualifications in conducting Model Evaluation for NLP to assess model performance
- Fluency in English at a B2 level or higher for seamless collaboration and communication with stakeholders
Nice to have
- Familiarity with cloud platforms such as Google Cloud or Microsoft Azure
- Background in additional programming languages such as R or Java
- 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