Senior Machine Learning Engineer
Data
Machine Learning
São Paulo, SP
Remote
Why join us
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.
Data Science at TRACTIAN
The 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 do
We are seeking a Machine Learning Engineer to solve complex data challenges and build ML solutions. The position requires strong foundational skills in ML engineering and data science, with the ability to design and deploy models that address diverse problems. While optimization experience is a valuable addition, it is not a mandatory requirement for the role.
Responsibilities
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Build and deploy scalable machine learning models.
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Develop and maintain end-to-end machine learning pipelines.
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Collaborate with data scientists and engineers to integrate ML solutions into production systems.
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Analyze and preprocess data to support model development.
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Optimize models for performance, scalability, and efficiency.
Requirements
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Proven experience in machine learning engineering, including deployment and monitoring.
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Proficiency in Python and core data science skills such as clustering, classification, and regression. A plus is a knowledge of working with images and texts.
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Experience with cloud platforms and containerization tools (e.g., AWS, Docker).
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Understanding of software engineering practices (version control, testing, CI/CD).
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Background in mathematical programming, operational research, or optimization techniques.
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Experience with combinatorial optimization, linear programming, or mixed-integer programming.
COMPENSATION
• Competitive salary and stock options
• Optional fully funded English / Spanish courses
• 30 days of paid annual leave
• Education and courses stipend
• Employee Giving
• 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