Artificial Intelligence Scientist

🔥 38 minutes ago

🇧🇷 Brazil – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🤖 Artificial Intelligence

👻 Ghost score 11%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

ANDRITZ

WebsiteLinkedInAll Job Openings

10,000+ employees

🚀 Aerospace

🏭 Manufacturing

Environment & Energy • Aerospace • Manufacturing

ANDRITZ is a globally leading supplier of process technologies, equipment, plants, and automation solutions. The company focuses on enabling the green transition through sustainable industrial transformation across multiple sectors including pulp and paper, metals, hydropower, and environmental and energy solutions. With a commitment to innovation and decarbonization, ANDRITZ's comprehensive portfolio includes technologies for recycling, renewable energy, and various industrial applications, contributing to a more sustainable world.

📋 Description

• Translate industrial and process challenges into mathematical optimization, machine learning, or artificial intelligence solutions • Formulate and solve mathematical optimization problems, including linear, mixed-integer, nonlinear, and constraint programming • Design and develop machine learning models applied to the control and operation of industrial processes • Develop solutions based on historical data to automatically improve control loops and control strategies • Develop LLM-based artificial intelligence agents to support engineering activities and control system operations • Prepare process data, including collection, cleaning, synchronization, and handling of time series, outliers, and missing data • Develop feature engineering approaches for model training • Define and implement model training, validation, and deployment pipelines with software and data teams • Support the integration of algorithms into the department’s products • Conduct proofs of concept in real-world plants • Prepare configuration and usage documentation for non-specialist professionals • Research new optimization, machine learning, and artificial intelligence technologies for current and future products

🎯 Requirements

• Advanced English proficiency • Ability to translate industrial and process challenges into optimization, machine learning, and artificial intelligence solutions • Strong knowledge 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 knowledge of machine learning, including supervised and unsupervised learning, neural networks, and model validation and evaluation • Experience in data preparation and feature engineering, with an emphasis on time-series processing and modeling • Understanding 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 • Clear and objective communication skills, with the ability to work in multicultural teams • Ability to learn and stay current with innovations and trends • Strong interpersonal and collaboration skills, with the ability to work smoothly and effectively as part of a team, either on-site or remotely • Systems and strategic thinking, analytical mindset, results orientation, discipline, and innovation • Nice to have: 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