Senior AI Engineering Machine Learning Engineer

Há 6 dias

Teresina, Brasil EPAM Systems Tempo inteiro

We are looking for a Senior AI Engineering Machine Learning Engineer to lead backend development for advanced GenAI projects. You will be responsible for designing, deploying, and maintaining scalable AI-driven applications using OpenAI APIs and cloud‑native tools, with a focus on automation and monitoring. Join us to play a key role in innovative AI solutions and grow your expertise in AI engineering. Responsibilities Design and enhance backend services supporting AI and large language model applications Integrate and scale LLM-based solutions within cloud infrastructures Build and maintain CI/CD pipelines for seamless deployment automation Monitor AI service performance and implement improvements Ensure comprehensive observability and logging for LLM API usage Collaborate closely with DevOps and AI/Data Science teams to improve processes Utilize cloud platforms, especially Azure, to deploy and scale AI applications Create APIs and microservices enabling AI-powered capabilities Requirements At least 3 years of professional experience in machine learning engineering with a backend software emphasis Proven expertise with OpenAI APIs and integrating AI services Strong knowledge of MLOps and CI/CD tools such as Orion, ArgoCD, and Opsera Experience with monitoring and observability platforms like Grafana, Dynatrace, and ThoughtSpot Solid background with cloud and infrastructure technologies including Azure, Apache Spark, and Databricks Advanced Python programming abilities and understanding of microservices architecture Fluent English communication skills at B2 level or above 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 #J-18808-Ljbffr

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