Machine Learning Engineer

CareersJobsDataMachine Learning EngineerMachine Learning EngineerDataMachine LearningRemote São Paulo, SPSHAREWhy join usTRACTIAN is transforming the industrial world by empowering frontline maintenance workers to achieve more. We’ve fused cutting-edge hardware with innovative software into one powerful platform, disrupting legacy systems and delivering smarter, faster solutions for our clients.Data Science at TRACTIANThe 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 doWe’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.ResponsibilitiesDeploy and maintain ML models from the data science teamDesign and implement APIs and real-time inference servicesWork with large-scale time-series datasets from vibration and sensor systemsImprove the performance and reliability of model serving pipelinesMonitor system health and implement logging, alerting, and fallback mechanismsContribute to architectural decisions and collaborate across teamsRequirements2–4+ years of experience in software or machine learning engineeringBachelor’s degree in Computer Science, Engineering, or related technical fieldSolid background in math, statistics, and machine learning conceptsStrong Python skills and experience with ML libraries like scikit-learn or PyTorchExperience deploying models in production environmentsFamiliarity with event-driven platforms and message queues (e.g., Kafka, Redis Streams)Comfort working with streaming or time-series dataPreferred QualificationsExperience with containerization (Docker) and cloud deploymentExposure to real-time or low-latency systemsInterest in optimization of inference latency and resource usageTechnical SkillsProgramming: Python, GolangML Libraries: scikit-learn, PyTorch, TensorFlowBackend: FastAPI, FlaskInfrastructure: Kafka, Redis, PostgreSQL, DockerML Ops: Model serving, monitoring, CI/CD pipelinesCompensation & BenefitsCompetitive salary and stock options30 days of paid annual leaveEducation and courses stipendEarn a trip anywhere in the world every 4 yearsR$1.035/month for meals allowanceHealth plan with national coverage and without coparticipationDental Insurance: we help you with dental treatment for a better quality of life.Wellhub and Sports Incentive: R$300/mo extra if you practice activitiesI want to applySee alsoAnalytics EngineerDataSão Paulo, SPAI EngineerDataSão Paulo, SPData Scientist - Predictive MaintenanceDataSão Paulo, SPView all open positionsTractian Ranked #24 Fastest-Growing Company in North AmericaRead MoreIf you want to build a ship, don't organize people to collect wood, assign them tasks, and give orders. Instead, teach them to long for the vast and endless sea.Antoine Saint-Exupery