3 days ago Be among the first 25 applicants EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. 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 We offer 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 Seniority level Seniority level Mid-Senior level Employment type Employment type Full-time Job function Job function Engineering, Information Technology, and Research Industries Software Development, IT Services and IT Consulting, and Technology, Information and Internet Referrals increase your chances of interviewing at EPAM Systems by 2x Get notified about new Senior Machine Learning Engineer jobs in Colombia . Bogota, D.C., Capital District, Colombia 3 weeks ago Bogota, D.C., Capital District, Colombia 2 weeks ago Bogota, D.C., Capital District, Colombia 3 weeks ago Bogota, D.C., Capital District, Colombia 1 week ago Bogota, D.C., Capital District, Colombia 2 weeks ago Bogota, D.C., Capital District, Colombia 2 weeks ago Bogota, D.C., Capital District, Colombia 2 weeks ago Bogota, D.C., Capital District, Colombia 2 weeks ago Medellin, Antioquia, Colombia 2 weeks ago We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI. #J-18808-Ljbffr