Machine Learning Engineer

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

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

Associate

Employment type

Full-time

Job function

Engineering, Information Technology, and Business Development

Industries

Software Development, IT Services and IT Consulting, and Retail

AI Software Engineer (Generative AI) - Remote

ENGENHARIA DE MACHINE LEARNING PLENO (100% REMOTO)

Software Engineer (Vaga Afirmativa para Mulheres) – 100% Remoto

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