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Machine Learning Engineer - LLMs

VTEX

Brasil

Teletrabalho

BRL 160.000 - 200.000

Tempo integral

Hoje
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Resumo da oferta

A tech company in Brazil is seeking a Machine Learning Engineer to join its AI Models team. The role involves developing intelligent agents using advanced AI technologies and requires strong skills in NLP and Python. Ideal candidates will have a results-driven mindset and expertise in model fine-tuning. The position ensures collaboration in a dynamic environment focused on innovation.

Serviços

Health, dental, and life insurance
Flexible meal allowance
Extended parental leaves
Flexible work schedule
Financial assistance for remote setup
Wellness program

Qualificações

  • Experience in fine-tuning models.
  • Hands-on experience with agents and multi-agent frameworks.
  • Experience with multi-agent frameworks in production projects is a plus.

Responsabilidades

  • Support data collection, cleaning, annotation, exploration, and analysis.
  • Develop Python scripts for data processing and automation.
  • Contribute to integration and monitoring of models in production.
  • Execute tests and performance validations of models.
  • Participate in technical meetings with team.

Conhecimentos

Foundations in LLMs
Natural Language Processing (NLP)
Proficiency in Python
Experience with multi-agent frameworks
Prompt Engineering
Git and GitHub
Advanced English
Logical reasoning skills
Curiosity about AI trends
Results-driven mindset

Formação académica

Background in Data Science
Descrição da oferta de emprego

As a Machine Learning Engineer, you will join the AI Models team at Weni by VTEX , a business unit of VTEX. You will play a key role in building intelligent agents and multi-agent systems using state-of-the-art AI technologies. This is an opportunity to work in a collaborative and innovative environment, driving the future of generative AI by developing scalable, high-performance solutions.

What you will do
  • Support the stages of the Data Science project lifecycle, including data collection, cleaning, annotation, exploration, and analysis, as well as the development and evaluation of generative models.
  • Develop and maintain Python scripts for data processing, statistical analyses, and task automation using libraries such as Pandas, NumPy, Scikit-learn, and cloud tools.
    Assist in preparing datasets and creating pipelines.
  • Contribute to the integration and monitoring of models in production environments, ensuring result quality and traceability.
  • Support the execution of tests and performance validations of models, as well as the creation of reports and dashboards for metric tracking.
  • Participate in technical meetings with the team and other departments to discuss results, propose improvements, and learn about the area’s practices and methodologies.
Who you are
  • Strong foundation in LLMs and proven experience with fine-tuning models.
  • Advanced knowledge in Natural Language Processing (NLP).
  • Proficiency in Python.
  • Hands-on experience with agents and multi-agent frameworks such as LangChain, LlamaIndex, Crewai, Swarm, PydanticAI, or Bedrock Agents.
  • Solid background in Prompt Engineering.
  • Experience with Git and GitHub for version control.
  • Advanced or fluent English.
  • Strong logical reasoning skills to design structured solutions for abstract problems.
  • Curiosity and eagerness to explore emerging trends and technologies in AI.
  • Results-driven mindset, committed to delivering high-impact and high-quality solutions.
  • Background in Data Science. (A plus)
  • Experience with multi-agent frameworks in production projects. (A plus)
  • Advanced expertise in Prompt Engineering. (A plus)
  • Strong foundation in Software Engineering. (A plus)
About VTEX

VTEX (NYSE: VTEX) is the composable and complete commerce platform that delivers more efficiency and less maintenance to organizations seeking to make smarter IT investments and modernize their tech stack. Through our pragmatic composability approach, we empower brands, distributors, and retailers with unparalleled flexibility and comprehensive solutions, enabling them to invest solely in what provides a clear business advantage and boosts profitability. VTEX is trusted by 2,400 global B2C and B2B customers, including Carrefour, Colgate, Motorola, Sony, Stanley Black & Decker, and Whirlpool, having 3,400 active online stores across 43 countries (as of FY ended on December 31, 2024).

Founded in the year 2000, VTEX has a history of being unstoppable. Completely against the odds, VTEX is leading a high-tech industry and positioned above market giants. We are building an extraordinary future with more than 1,300 employees scattered across 25 locations in 16 countries in Latin America, North America, Europe, and Asia. For more information, visit www.vtex.com.

At VTEX, you will work in a challenge-driven environment and collaborate with amazing peers. If you are powerful individually, join us, and we will be unstoppable together.

About Weni by VTEX

Weni by VTEX is a business unit of VTEX dedicated to enterprise customer experience solutions powered by artificial intelligence, designed for brands and retailers.

With the Weni Platform, we redefine sales and post-sales journeys through hyperautomation and the smart integration of data into conversational channels, delivering faster, more personalized, and more efficient experiences for consumers.

  • Health, dental, and life insurance with national coverage provided by VTEX;
  • Flexible meal allowance;
  • Extended parental leaves;
  • Flexible work schedule and remote-first culture;
  • Financial assistance to build your work-from-home setup;
  • Wellness program;
Demographic Questions

We invite you to complete this optional survey to help us evaluate our diversity and inclusion efforts. Submission of the information on this form is strictly voluntary and refusal to provide it will not subject you to any adverse treatment or affect your job application.Additionally, this is not public information, meaning that it will not be shared to your recruiting team nor interviewers.

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