TRACTIAN đť—•đť—Ą

Machine Learning Engineer

TRACTIAN đť—•đť—Ą  â€˘  SĂŁo Paulo, BR (Onsite)  â€˘  2 months ago
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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’re hiring a Machine Learning Engineer to bridge the gap between data science and production systems. You’ll own end-to-end deployment of machine learning models, work with real-time sensor data, and build reliable services that power diagnostics for industrial equipment. This is a hands-on role with real impact, ideal for engineers who want to grow their systems design and ML Ops skills.

Responsibilities

  • Deploy and maintain ML models from the data science team
  • Design and implement APIs and real-time inference services
  • Work with large-scale time-series datasets from vibration and sensor systems
  • Improve the performance and reliability of model serving pipelines
  • Monitor system health and implement logging, alerting, and fallback mechanisms
  • Contribute to architectural decisions and collaborate across teams

Requirements

  • 2–4+ years of experience in software or machine learning engineering
  • Bachelor’s degree in Computer Science, Engineering, or related technical field
  • Solid background in math, statistics, and machine learning concepts
  • Strong Python skills and experience with ML libraries like scikit-learn or PyTorch
  • Experience deploying models in production environments
  • Familiarity with event-driven platforms and message queues (e.g., Kafka, Redis Streams)
  • Comfort working with streaming or time-series data

Preferred Qualifications

  • Experience with containerization (Docker) and cloud deployment
  • Exposure to real-time or low-latency systems
  • Interest in optimization of inference latency and resource usage

Technical Skills

  • Programming: Python, Golang
  • ML Libraries: scikit-learn, PyTorch, TensorFlow
  • Backend: FastAPI, Flask
  • Infrastructure: Kafka, Redis, PostgreSQL, Docker
  • ML Ops: Model serving, monitoring, CI/CD pipelines
TRACTIAN đť—•đť—Ą

About TRACTIAN đť—•đť—Ą

A Tractian é a empresa líder de inteligência de máquina e de sistemas de monitoramento industrial. A Tractian desenvolve soluções simplificadas de hardware e software para oferecer aos técnicos de manutenção e aos tomadores de decisões industriais uma supervisão abrangente de suas operações. A missão da Tractian é tornar a vida de cada mantenedor da linha de frente das indústrias, os #BlueCaps, profundamente melhor.

Como um marco importante, a Tractian inaugurou a categoria de Assisted Maintenance (Manutenção Assistida) no setor industrial, estabelecendo-se como pioneira e líder na aplicação dessa tecnologia única. Essa categoria é baseada no conceito de predição auxiliada, onde a inteligência artificial identifica problemas nas máquinas e sugere ações preventivas a serem realizadas, fornecendo um valioso suporte aos profissionais de manutenção.

A categoria de Manutenção Assistida permite um apoio inimaginável para os profissionais de manutenção. Combinando expertise de chão de fábrica com tecnologia, os mantenedores poderão atuar nos problemas com mais assertividade.

A Tractian suporta as operações industriais que geram 5% do PIB da produção industrial mundial. Em termos práticos, significa que, a cada 1.000 dólares produzidos pela indústria mundial, 50 dólares são gerados em ambientes que usam as soluções da Tractian. Os clientes da Tractian obtêm um ROI de 6 a 12 vezes, com uma economia média de 6.000 dólares por máquina monitorada anualmente.

Industry
IT & Software
Company Size
501-1,000 employees
Headquarters
SĂŁo Paulo, BR
Year Founded
2019
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