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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!
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 highly skilled and experienced Staff Machine Learning Engineer to join our team and lead the development of scalable and innovative ML solutions. As a senior technical leader, you will drive the end-to-end implementation of machine learning systems, mentor engineering teams, and contribute to shaping the strategy for AI/ML initiatives across the organization.
Responsibilities
Architect and Develop ML Systems: Design and implement scalable machine learning pipelines, ensuring robustness and efficiency.
Model Development: Lead the development, training, and deployment of machine learning models to solve complex business problems.
Technical Leadership: Guide engineers and data scientists, promoting best practices in ML engineering.
Productionization: Build and maintain reliable production-grade ML systems, optimizing for performance and scalability.
Innovation: Stay updated on the latest trends and research in machine learning and artificial intelligence, integrating state-of-the-art techniques when appropriate.
Code and Review: Write clean, maintainable, well-documented code; conduct code reviews to uphold engineering standards.
Requirements
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. PhD is a plus.
Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
Experience in evaluating machine learning models in production.
Experience with data processing frameworks and tools (e.g., Spark, Dask, Pandas, Polars).
Solid understanding of MLOps principles and tools (e.g. Docker, Kubernetes, model versioning).
Familiarity with cloud platforms (e.g., AWS, GCP, Azure).
Proven ability to translate business problems into technical solutions using machine learning.
Strong communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.
Required profile
Experience
Level of experience:Senior (5-10 years)
Spoken language(s):
English
Check out the description to know which languages are mandatory.