Description

DESCRIPTION

Join our dynamic team at EPAM!

We're seeking a talented MLOps Engineer to help drive our innovative projects forward.

In this role, you'll develop efficient client code suitable for a high-volume production environment accessible through HTTP API, leveraging Large Language Models (LLMs) API.

zIf you're ready to make a significant impact, we'd love to hear from you.

EPAM is a leading global provider of digital platform engineering and development services. We are committed to having a positive impact on our customers, our employees, and our communities. We embrace a dynamic and inclusive culture. Here you will collaborate with multi-national teams, contribute to a myriad of innovative projects that deliver the most creative and cutting-edge solutions, and have an opportunity to continuously learn and grow. No matter where you are located, you will join a dedicated, creative, and diverse community that will help you discover your fullest potential. Responsibilities

Orchestrating LLM-driven experiences that delight our customers Writing Python API server code that handles requests from a front-end client (or many front-end clients) Developing novel LLM client code suitable for a high-volume production environment Utilizing the latest and greatest LLM models and services Empowering prompt engineers and other SMEs by developing intuitive prompting frameworks Writing SQL queries and occasionally designing schema Requirements

At least 3+ years of production level experience in software engineering on an engineering/product team (preferably at a startup) Experience using large language models through code (such as model services from OpenAI, Anthropic, or Cohere; and/or open-source models such as Llama and Mistral) Experience with any stages in the ML development lifecycle (e.g. data labeling, data curation, data cleaning, model training, model evaluation, model serving, LLM prompting, etc.) Technologies

Large Language Models Machine Learning OpenAI API Python REST API SQL We Offer

Connectivity Bonus (15, ARS are paid with a salary receipt at the end of each month as a non-wages concept) Medicina Prepaga (It covers the collaborator and direct family group) Paternity Leave (Two additional days are added to what is established by law, total of 4 days) Discounts card English Training (English lessons, twice per week) Training Program (Access to multiple customized training plans according to the needs of each role within the company) Marriage bonus (The company doubles the allowance established by law that ANSES offers) Referral Program (Referral bonus is paid when the referral of a collaborator joins the Company) External Agreements and Discounts