




We are seeking a Machine Learning Engineer to join our team and support the GenAI initiative. In this role, you will focus on designing, improving, and optimizing backend infrastructure to power LLM\-based applications using OpenAI APIs. Your skills in MLOps, CI/CD, observability, and cloud\-native technologies will be essential to ensure the reliability, scalability, and efficiency of AI\-driven systems. *We accept* *CVs in English only.* **Responsibilities** * Develop and improve backend infrastructure for AI and LLM\-based solutions * Integrate and oversee LLM applications within cloud environments * Scale AI systems to meet performance and reliability requirements * Implement automated deployment processes through CI/CD pipelines * Track and maintain the performance of AI services to ensure consistency * Establish logging and observability frameworks for monitoring LLM API performance * Collaborate with DevOps teams to streamline workflows and enhance system dependability * Work closely with AI and Data Science teams to develop and enhance application features * Leverage cloud platforms, especially Azure, to deploy and scale AI\-powered applications * Design and build APIs and microservices to support AI\-driven functionalities **Requirements** * At least 2 years of experience in Machine Learning Engineering with a focus on backend and software development * Strong expertise in integrating and working with OpenAI APIs and other AI services * Hands\-on experience with MLOps tools such as Orion, ArgoCD, and Opsera for deployment automation * Proficiency with monitoring and observability tools, including Grafana, Dynatrace, and ThoughtSpot * Comprehensive knowledge of cloud platforms, particularly Azure, as well as Apache Spark and Databricks * Advanced Python programming skills for backend development and implementation * Proven experience in designing and building APIs and microservices architecture * Fluency in English, both verbal and written, with a minimum proficiency level of B2\+ **Nice to have** * Knowledge of Data Science principles and workflows * Experience with Large Language Models (LLMs) * Understanding of Natural Language Processing (NLP) methodologies and applications **We offer** * Learning Culture \- We want you to be the best version of yourself, that is why we offer unlimited access to learning platforms, a wide range of internal courses, and all the knowledge you need to grow professionally * Health Coverage \- Health and wellness are important, that is why we have you and up to four family members in a premiere health plan. We have a couple of options, so you can choose what is best for you and your family * Visual Benefit \- Seeing your work for us would be a sight for sore eyes. We want your vision to always be at 100% which is why we offer up to $200\.000 COP for any visual health expenses * Life Insurance Plan \- We have partnered with MetLife to offer a full\-coverage Ife insurance plan. So, your family is covered, even if you are gone. * Medical Leave Coverage \- We are one of the few companies that cover 100% of your medical leave, for up to 90 days. Your health is the most important thing to us * Professional Growth Opportunities \- We have designed a highly competitive and complete development process, where you will have all the tools to get where you have always wanted to be, personally and professionally * Stock Option Purchase Plan \- As an EPAMer you can be more than just an employee, you will also have the opportunity to purchase stock at a reduced price and become a part owner of our organization * Additional Income \- Besides your regular salary, you will also have the chance to earn extra income by referring talent, being a technical interviewer, and many more ways * Community Benefit \- You will be part of a worldwide community of over 50,000 employees, where you can learn, challenge yourself, stand out, and share your knowledge and experience with multicultural teams! *Please note that even though you are applying for this position, you may be offered other projects to join within EPAM.* 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.


