Artificial Intelligence Scientist

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

📋 Description

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

• Formulate and resolve mathematical optimization challenges, including linear, mixed-integer, nonlinear, and constraint programming.

• Create and develop machine learning models that are applied to the control and operation of industrial processes.

• Generate solutions based on historical process data to enhance the performance of control loops and control strategies automatically.

• Develop LLM-based artificial intelligence agents to assist in engineering tasks and the operation of control systems.

• Prepare process data, encompassing collection, cleaning, synchronization, and management of time series, outliers, and missing data.

• Establish feature engineering processes for training models.

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

• Facilitate the integration of algorithms into the area's products in partnership with the software development team.

• Conduct proof-of-concept projects for algorithms and solutions in real-world plants.

• Create configuration and usage documentation for non-specialized professionals.

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

⛳️ Requirements

• Proficient in advanced English.

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

• In-depth knowledge of mathematical optimization and problem formulation, encompassing 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 understanding of machine learning, including supervised and unsupervised learning, neural networks, model validation, and model evaluation.

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

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

• Proficiency in Python and data science, machine learning, and optimization libraries such as NumPy, pandas, scikit-learn, and PyTorch.

• Effective and clear communication skills, capable of working in multicultural teams.

• Eagerness and ability to continuously learn and remain informed about innovations and trends.

• Strong interpersonal and collaboration skills, with the ability to work efficiently as part of a team, whether on-site or remotely.

• Systems and strategic thinking, analytical mindset, results-oriented, disciplined, and innovative.

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

• Preferred qualifications: experience in process automation and control, knowledge of industrial processes, C#/.NET, Git, SQL, LLM/RAG agents, reinforcement learning, metaheuristics, Bayesian optimization, and MLOps practices.

🏝️ Benefits

• Comprehensive health benefits.

• Opportunities for professional development and growth.

• Flexible working hours and remote work options.

• Collaborative work environment with a focus on innovation.

• Access to cutting-edge technologies and tools.