We are looking for a Machine Learning Engineer to join our team and contribute to the GenAI initiative. In this position, you will focus on creating, enhancing, and fine\-tuning backend systems that drive LLM\-powered applications utilizing OpenAI APIs. Your expertise in MLOps, CI/CD, observability, and cloud\-native tools will be critical in ensuring the performance, reliability, and scalability of AI\-driven solutions. *We accept* *CVs in English only.* **Responsibilities** * Build and enhance backend systems for AI and LLM\-powered applications * Integrate LLM applications into cloud platforms and manage their operations * Scale AI systems to meet performance and reliability goals * Create CI/CD pipelines to enable automated deployment processes * Monitor the performance of AI services to ensure system stability * Set up observability and logging to track the performance of LLM APIs * Work with DevOps teams to optimize workflows and improve system reliability * Collaborate with AI and Data Science teams to expand and refine application features * Utilize cloud platforms, particularly Azure, for hosting and scaling AI applications * Design APIs and microservices architecture to enable AI functionalities **Requirements** * A minimum of 2 years of experience in Machine Learning Engineering with a focus on backend and software systems * Extensive experience in integrating OpenAI APIs and AI services * Proficiency with MLOps tools such as Orion, ArgoCD, and Opsera for automation of deployments * Experience using monitoring and observability platforms like Grafana, Dynatrace, or ThoughtSpot * Strong knowledge of cloud infrastructure, with a preference for Azure, as well as expertise in Apache Spark and Databricks * Advanced Python programming skills for backend development * Proven experience in developing APIs and designing microservices architectures * Fluency in English, both written and spoken, with a proficiency level of B2\+ or higher **Nice to have** * Understanding of Data Science concepts and methodologies * Experience working with Large Language Models (LLMs) * Familiarity with Natural Language Processing (NLP) techniques and tools **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.