Senior Machine Learning Enigneer
Data
Machine Learning
São Paulo, SP
Remote
TRACTIAN 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.
Design, 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.
Bachelor’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.
• Competitive salary and stock options
• Optional fully funded English / Spanish courses
• 30 days of paid annual leave
• Education and courses stipend
• Earn a trip anywhere in the world every 4 years
• Day off during the week of your birthday
• Up to R$1.000/mo for meals and remote work allowance
• Health plan with national coverage and without coparticipation
• Dental 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
If 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