Staff 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.
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 highly skilled and experienced Staff Machine Learning Engineer to join our team and lead the development of scalable and innovative ML solutions. As a senior technical leader, you will drive the end-to-end implementation of machine learning systems, mentor engineering teams, and contribute to shaping the strategy for AI/ML initiatives across the organization.
Responsibilities
- •
Architect and Develop ML Systems: Design and implement scalable machine learning pipelines, ensuring robustness and efficiency.
- •
Model Development: Lead the development, training, and deployment of machine learning models to solve complex business problems.
- •
Technical Leadership: Guide engineers and data scientists, promoting best practices in ML engineering.
- •
Productionization: Build and maintain reliable production-grade ML systems, optimizing for performance and scalability.
- •
Innovation: Stay updated on the latest trends and research in machine learning and artificial intelligence, integrating state-of-the-art techniques when appropriate.
- •
Code and Review: Write clean, maintainable, well-documented code; conduct code reviews to uphold engineering standards.
Requirements
- •
Bachelor’s or Master’s degree in Computer Science, Engineering, Mathematics, or a related field. PhD is a plus.
- •
Strong proficiency in Python and ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn).
- •
Experience in evaluating machine learning models in production.
- •
Experience with data processing frameworks and tools (e.g., Spark, Dask, Pandas, Polars).
- •
Solid understanding of MLOps principles and tools (e.g. Docker, Kubernetes, model versioning).
- •
Familiarity with cloud platforms (e.g., AWS, GCP, Azure).
- •
Proven ability to translate business problems into technical solutions using machine learning.
- •
Strong communication and collaboration skills, with the ability to articulate complex technical concepts to diverse audiences.
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
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