Senior ML Engineer

hace 3 semanas


Argentina EPAM Systems A tiempo completo

Be among the first 25 applicants We are seeking a Senior Machine Learning Engineer to join our team and contribute to the GenAI project. In this role, you will focus on designing, building, and optimizing backend systems that support LLM-driven applications using OpenAI APIs. You will leverage your expertise in MLOps, CI/CD, observability, and cloud-native technologies to ensure the scalability, reliability, and performance of AI‑powered solutions. Responsibilities Develop and optimize backend services for AI and LLM-based applications Integrate and manage LLM-based applications in cloud environments Scale AI applications to meet performance and reliability requirements Implement CI/CD pipelines to automate deployment processes Monitor AI services to ensure performance and reliability Establish observability and logging for tracking LLM API performance Collaborate with DevOps teams to streamline workflows and improve system uptime Work closely with AI and Data Science teams to enhance application functionality Leverage cloud platforms, with a preference for Azure, to host and scale AI solutions Design and develop APIs and microservices to enable AI-powered features Requirements At least 3 years of experience in Machine Learning Engineering with a focus on software and backend systems Strong expertise in integrating and working with OpenAI APIs and AI services Proficiency in MLOps tools such as ArgoCD, Opsera for deployment automation Hands‑on experience with monitoring and observability tools like Grafana, Dynatrace, and ThoughtSpot Deep understanding of cloud platforms, particularly Azure, as well as Apache Spark and Databricks Experience in designing and implementing APIs and microservices architecture Fluent English communication skills, both written and spoken, at a B2+ level or higher Nice to have Knowledge of Data Science principles and techniques Experience working with Large Language Models (LLMs) Familiarity with Natural Language Processing (NLP) concepts and applications We offer International projects with top brands Work with global teams of highly skilled, diverse peers 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 Mid‑Senior level Employment type Full‑time Job function Engineering, Information Technology, and Business Development Industries Software Development, IT Services and IT Consulting, and Retail #J-18808-Ljbffr



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