We are looking for a **Senior Machine Learning Engineer** to join our team and contribute to the success of the GenAI initiative. In this position, you will focus on building, enhancing, and optimizing backend systems to support LLM\-powered applications using OpenAI APIs. Your expertise in MLOps, CI/CD, observability tools, and cloud\-native platforms will be key to ensuring the scalability, reliability, and efficiency of AI\-driven solutions. **Responsibilities** * Design and enhance backend systems to support AI and LLM\-based applications * Deploy and manage LLM applications within cloud environments * Optimize AI systems to meet performance and reliability standards * Develop automated deployment workflows using CI/CD pipelines * Monitor and maintain the stability of AI services * Establish observability and logging systems to track LLM API performance * Work with DevOps teams to enhance workflows and ensure system reliability * Collaborate with AI and Data Science teams to improve and expand application capabilities * Utilize cloud platforms, particularly Azure, to deploy and scale AI solutions * Create and implement APIs and microservices to enable AI\-powered functionalities **Requirements** * A minimum of 3 years of experience in Machine Learning Engineering with a focus on backend and software development * Extensive experience integrating and working with OpenAI APIs and similar AI services * Proficiency in using MLOps tools such as Orion, ArgoCD, and Opsera for deployment automation * Hands\-on experience with observability and monitoring tools, including Grafana, Dynatrace, and ThoughtSpot * Strong knowledge of cloud platforms, especially Azure, along with expertise in Apache Spark and Databricks * Advanced Python skills for backend development and implementation * Demonstrated experience in designing and building APIs and microservices architectures * Fluency in English, both written and spoken, at a B2\+ level or higher **Nice to have** * Understanding of Data Science principles and methodologies * Experience working with Large Language Models (LLMs) * Familiarity with Natural Language Processing (NLP) techniques and tools **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