Machine Learning Engineer - LLMs at VTEX

Brazil

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, AIIndustries

Requirements

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)

Responsibilities

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

Skills

Python

Pandas

NumPy

Scikit-learn

LLMs

Fine-tuning

NLP

LangChain

LlamaIndex

Crewai

Swarm

PydanticAI

Bedrock Agents

Prompt Engineering

Git

GitHub

VTEX

Digital commerce platform for enterprises

About VTEX

VTEX provides a digital commerce platform designed for enterprises to enhance their selling and fulfillment processes. The platform allows businesses to integrate orders and inventory across various sales channels, which helps optimize fulfillment and delivery. VTEX's solution is customizable and offers an all-in-one approach that enables companies to improve their digital commerce strategies, increase conversion rates, and establish direct-to-consumer marketplaces. Unlike many competitors, VTEX emphasizes rapid deployment and extensive out-of-the-box capabilities, along with seamless integration with third-party sellers, allowing businesses to explore new revenue opportunities. The company's goal is to empower enterprises to efficiently navigate the digital commerce landscape and achieve growth through innovative selling strategies.

London, United KingdomHeadquarters

2000Year Founded

$355MTotal Funding

IPOCompany Stage

Consulting, Consumer SoftwareIndustries

1,001-5,000Employees

Risks

Integration challenges from acquisitions may disrupt service delivery and customer satisfaction.

Rising customer acquisition costs could impact VTEX's profitability if not managed effectively.

Dependence on third-party integrations poses risks if partners face operational issues.

Differentiation

VTEX offers a composable commerce platform, allowing tailored eCommerce solutions for businesses.

The platform integrates seamlessly with third-party sellers, enhancing revenue streams and market reach.

VTEX's rapid deployment and extensive out-of-the-box capabilities set it apart from competitors.

Upsides

Acquisitions of Newtail and Weni enhance VTEX's retail media and AI-powered customer service.

Partnership with Pinterest expands VTEX's social commerce capabilities, reaching more consumers.

VTEX's B2B and B2C solutions position it well in the growing digital commerce market.

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