Senior Machine Learning Engineer
São Paulo, SP
Tractian
Meet the most comprehensive system on the market and avoid failures, reduce costs, and increase your industry's productivity! Condition monitoring sensors, predictive maintenance software, and asset management.
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.
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).
- Background in mathematical programming, operational research, or optimization techniques.
- Experience with combinatorial optimization, linear programming, or mixed-integer programming.
Preferred (Plus):
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Categories:
Engineering Jobs
Machine Learning Jobs
Tags: AWS CI/CD Classification Clustering Data visualization Docker Engineering Industrial Machine Learning ML models Pipelines Python Research Statistics Testing
Region:
South America
Country:
Brazil
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