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. **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** * Improved medical coverage \- EPAMers are eligible to participate in a supplementary health insurance program that shall have the usual coverage in the industry, with the Company funding 100% of the value of the monthly premium for participation * Lunch Allowance \- You will receive a daily allowance of CLP $ 7,000 per working day. Enjoy a nice meal on us * Allowance for internet and electricity \- You will receive an allowance of CLP $15,000 per month to cover internet and electricity expense * National Holiday Bonus \- We celebrate joining the Chilean Market. That is why all our employees will receive a bonus of CLP $86,646 in September * Christmas Bonus \- You will receive an End of Year bonus of CLP $170,539\. It will be paid during the month of December, to ensure you have a Happy Holiday! * 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 * 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 * Are you open to relocation? \- If you want to relocate to another country and we have the right project, we will assist you every step of the way, to help you and your family, reach your new home