Senior Machine Learning Enigneer

Machine Learning at TRACTIAN
The 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 do
As 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.

Responsibilities

• 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.

Requirements

• 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.

Compensation
– Competitive salary and stock options- R$800/mo for you to use with food in supermarkets, restaurants and delivery- GymPass so you don’t sit/work all day- 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- R$200 a month for remote work allowance- Mental health support: we cover 40% of the cost of your therapy- Health plan with national coverage and without coparticipation- Dental Insurance: we help you with dental treatment for a better quality of life.- Sports Incentive: R$300/mo extra if you practice activities- Up to R$5.000 bonus for referring new Blue Caps