Description:

The Machine Learning department at TRACTIAN focuses on developing and deploying sophisticated models that automate complex industrial tasks.
Engineers in this department train models using state-of-the-art techniques to improve predictions, optimize machine performance, and anticipate equipment failures.
The role involves designing and building robust, scalable systems to support machine learning models and algorithms.
Responsibilities include integrating machine learning solutions into production environments while ensuring maintainability, efficiency, and scalability.
The position requires collaboration 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 and a solid understanding of machine learning principles.
Key tasks include designing, developing, and deploying scalable machine learning solutions, writing clean and efficient code, optimizing existing machine learning pipelines, and implementing tools for model deployment and monitoring.

Requirements:

A Bachelor’s, Master’s, or Ph.D. degree in Computer Science, Software Engineering, Machine Learning, or a related field is required.
Strong programming experience in Golang and Rust is essential, with the ability to write efficient and scalable code.
Proficiency in Python for machine learning and data-related tasks is necessary.
A solid understanding of machine learning concepts is required, with a primary focus on software engineering and system integration.
Experience in building and optimizing machine learning pipelines and deploying models into production environments is needed.
Familiarity with software engineering best practices, including version control, CI/CD, and code testing, is important.
Experience working with distributed systems and cloud environments is preferred.
Excellent collaboration and communication skills are required to work effectively with cross-functional teams.

The position offers a competitive salary and stock options.
Employees receive R$800/month (Remote) or R$1035/month (On-site) for food expenses in supermarkets, restaurants, and delivery.
GymPass is provided to encourage physical activity.
Optional fully funded English/Spanish courses are available.
Employees enjoy 30 days of paid annual leave.
An education and courses stipend is offered for professional development.
Employees can earn a trip anywhere in the world every 4 years.
A day off during the week of the employee's birthday is provided.
A remote work allowance of R$200 a month is included.
Mental health support covers 40% of therapy costs.
A health plan with national coverage and no coparticipation is provided.
Dental insurance is available to assist with dental treatment.
A sports incentive of R$300/month is offered for those who practice activities.
Employees can earn up to R$5,000 as a bonus for referring new Blue Caps.