Artificial Intelligence Scientist

This is a fully remote position, open to applicants in Brazil.

📋 Description

• Convert industrial and process challenges into solutions utilizing mathematical optimization, machine learning, or artificial intelligence.

• Formulate and resolve mathematical optimization problems, encompassing linear, mixed-integer, nonlinear, and constraint programming.

• Design and develop machine learning models for the control and operation of industrial processes.

• Create solutions that leverage historical data to enhance control loops and strategies automatically.

• Develop artificial intelligence agents based on LLM to assist with engineering tasks and control system operations.

• Prepare process data through collection, cleansing, synchronization, and managing time series, outliers, and missing data.

• Innovate feature engineering methods for model training.

• Define and execute model training, validation, and deployment pipelines in collaboration with software and data teams.

• Aid in the integration of algorithms into the department’s product offerings.

• Conduct proofs of concept in operational plants.

• Create configuration and usage documentation for non-specialist personnel.

• Investigate new optimization, machine learning, and artificial intelligence technologies for existing and future products.

⛳️ Requirements

• Proficiency in advanced English.

• Capability to translate industrial and process challenges into optimization, machine learning, and artificial intelligence solutions.

• In-depth understanding of mathematical optimization and problem formulation, including linear programming, mixed-integer programming, nonlinear programming, and constraint programming.

• Experience with solvers and modeling languages such as Gurobi, CPLEX, OR-Tools, or Pyomo.

• Strong foundation in machine learning, encompassing supervised and unsupervised learning, neural networks, and model validation and evaluation.

• Background in data preparation and feature engineering, particularly focused on time-series processing and modeling.

• Knowledge of data pipelines for model training, validation, and deployment.

• Proficiency in Python and familiarity with data science, machine learning, and optimization libraries like NumPy, pandas, scikit-learn, and PyTorch.

• Effective and clear communication skills, with the ability to collaborate in multicultural teams.

• Willingness to learn and keep up with new innovations and trends.

• Strong interpersonal and teamwork skills, enabling smooth collaboration in both on-site and remote settings.

• Possess systems and strategic thinking, an analytical mindset, results orientation, discipline, and a drive for innovation.

• Preferred: Knowledge of process automation and control, industrial processes, C#/.NET, Git, SQL, LLM agents, reinforcement learning, metaheuristics, Bayesian optimization, and MLOps.

• Bachelor’s degree in Computer Science, Engineering, Mathematics, Statistics, or a related field.

🏝️ Benefits

• Permanent employment contract.

• Remote work options.