Offer summary

Qualifications:

Proven experience in machine learning engineering, Proficiency in Python and core data science skills, Experience with cloud platforms like AWS, Understanding of software engineering practices.

Key responsabilities:

Build and deploy scalable machine learning models

Develop and maintain end-to-end machine learning pipelines

A TRACTIAN é a startup industrial que mais cresce na América Latina e uma das 100 “Startups To Watch” selecionadas pela PEGN. Nosso time é composto por #BlueCaps das mais diversas especialidades e origens, todos unidos por um propósito comum: transformar a vida daqueles que garantem que nossos produtos cheguem com qualidade. Para isso, desenvolvemos um sistema preditivo que combina sensores de monitoramento de condição de máquinas a uma plataforma de inteligência artificial que analisa automaticamente os dados coletados e os disponibiliza às equipes de forma fácil e acessível, além de ter ferramentas que facilitam e automatizam a gestão de manutenção. É a solução mais completa do mercado, constantemente aprimorada pelo melhor time do mundo. Os Blue Caps são responsáveis por suas carreiras, crescendo rapidamente – assim como a empresa – através de projetos desafiadores, aprendizado constante e ritmo acelerado. Somos pessoas apaixonadas pelo que fazem e que transformam potencial em resultados. Crescemos, aprendemos e evoluímos juntos em um ambiente dinâmico e transparente. Nos reinventamos e buscamos novos desafios todos os dias para revolucionar o chão de fábrica e alcançar o status de startup unicórnio nos próximos quatro anos. Quer fazer parte da transformação das indústrias? A hora é agora. Confira nossas vagas abertas e venha vestir o Blue Cap!

Job description

Data Science at TRACTIAN

The Data Science team at TRACTIAN focuses on extracting valuable insights from vast amounts of industrial data. Using advanced statistical methods, algorithms, and data visualization techniques, this team transforms raw data into actionable intelligence that drives decision-making across engineering, product development, and operational strategies. The team constantly works on optimizing prediction models, identifying trends, and providing data-driven solutions that directly enhance the company’s operational efficiency and the quality of its products.

What you'll do

We are seeking a Machine Learning Engineer to solve complex data challenges and build ML solutions. The position requires strong foundational skills in ML engineering and data science, with the ability to design and deploy models that address diverse problems. While optimization experience is a valuable addition, it is not a mandatory requirement for the role.

Responsibilities

Build and deploy scalable machine learning models.

Develop and maintain end-to-end machine learning pipelines.

Collaborate with data scientists and engineers to integrate ML solutions into production systems.

Analyze and preprocess data to support model development.

Optimize models for performance, scalability, and efficiency.

Requirements

Proven experience in machine learning engineering, including deployment and monitoring.

Proficiency in Python and core data science skills such as clustering, classification, and regression. A plus is a knowledge of working with images and texts.

Experience with cloud platforms and containerization tools (e.g., AWS, Docker).

Understanding of software engineering practices (version control, testing, CI/CD).

Preferred (Plus):

Background in mathematical programming, operational research, or optimization techniques.

Experience with combinatorial optimization, linear programming, or mixed-integer programming.

Required profile