Senior Machine Learning Engineer – São Paulo

Tractian Technologies Inc está com vaga(s) de emprego para Senior Machine Learning Engineer – São Paulo em São Paulo

Cargo:

Senior Machine Learning Engineer – São Paulo

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.

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.

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

• Build and deploy scalable machine learning models.
• Develop and maintain end-to-end machine learning pipelines.
• Collaborate with data scientists and engineers to integrate ML solutions into production systems.
• Analyze and preprocess data to support model development.
• Optimize models for performance, scalability, and efficiency.

Requirements

• Proven experience in machine learning engineering, including deployment and monitoring.
• 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.
• Experience with cloud platforms and containerization tools (e.g., AWS, Docker).
• Understanding of software engineering practices (version control, testing, CI/CD).

Preferred (Plus)

• Background in mathematical programming, operational research, or optimization techniques.
• 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
• 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

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