Why 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.
At TRACTIAN, you'll break boundaries, question convention, and collaborate with top talent to drive real change. As a part of our growth-stage startup, you'll work alongside the founders, shaping the vision, products, and experiences that will define the future of industrial tech.
Machine Learning at TRACTIANThe Machine Learning department at TRACTIAN focuses on developing and deploying sophisticated models that automate complex industrial tasks. These engineers train models using state-of-the-art techniques to improve predictions, optimize machine performance, and anticipate equipment failures. Their work enables TRACTIAN to push the boundaries of what predictive maintenance can achieve, turning raw data into intelligent algorithms that continually learn and adapt to new information.
What you'll doAs a Machine Learning Engineer, you will be at the intersection of machine learning and software development, designing and building robust, scalable systems to support machine learning models and algorithms. Your primary responsibilities will involve integrating machine learning solutions into production environments while ensuring that they are maintainable, efficient, and scalable. You will work closely with data scientists, software engineers, and product teams to translate complex machine learning models into production-ready code, primarily using Golang, Rust, and Python. The ideal candidate will have a strong foundation in software engineering, combined with a solid understanding of machine learning principles.
ResponsibilitiesDesign, develop, and deploy scalable machine learning solutions, focusing on software engineering principles and system architecture.Write clean, efficient, and production-grade code in Golang, Rust, and Python to integrate machine learning models into applications.Collaborate with cross-functional teams to gather requirements and translate them into software systems that support machine learning workflows.Optimize existing machine learning pipelines for performance, scalability, and maintainability.Implement tools for model deployment, monitoring, and continuous integration/continuous deployment (CI/CD) in production environments.Work closely with data scientists to understand and improve the deployment of models and algorithms.Stay current with the latest advancements in both machine learning and software engineering to ensure cutting-edge solutions are utilized.Troubleshoot and resolve software performance issues and bottlenecks in machine learning pipelines.RequirementsBachelor's, Master's, or Ph.D. degree in Computer Science, Software Engineering, Machine Learning, or a related field.Strong programming experience in Golang and Rust, with the ability to write efficient, scalable code.Proficiency in Python for machine learning and data-related tasks.Solid understanding of machine learning concepts, but with a primary focus on software engineering and system integration.Experience in building and optimizing machine learning pipelines, and deploying models into production environments.Familiarity with software engineering best practices, including version control, CI/CD, and code testing.Experience working with distributed systems and cloud environments.Excellent collaboration and communication skills to work effectively with cross-functional teams.CompensationCompetitive salary and stock optionsOptional fully funded English / Spanish courses30 days of paid annual leaveEducation and courses stipendEarn a trip anywhere in the world every 4 yearsDay off during the week of your birthdayUp to R$1.000/mo for meals and remote work allowanceHealth plan with national coverage and without coparticipationDental Insurance: we help you with dental treatment for a better quality of life.Gympass and Sports Incentive: R$300/mo extra if you practice activities
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