Artificial Intelligence (AI) Engineer

at  Andritz

Every day, ANDRITZ continues to deliver successful innovative solutions to our customers globally. Why are we so successful? Because we are passionate and love what we do! We are at the forefront of future engineering technologies, with solutions that ensure the success of our clients in key industries that are shaping the future of the world we live in.
The Artificial Intelligence Engineer designs state-of-the-art software for autonomous control of industrial processes. They apply a broad range of AI techniques confidently, including both symbolic and machine learning methods. They develop proofs of concept and new software products. They are skilled programmers themselves, but also able to specify designs for dedicated software developers.
The Artificial Intelligence Engineer is part of a diverse multidisciplinary team. Strong collaboration skills are essential. They are an adept communicator and contribute as a subject matter expert to multiple ANDRITZ business units.

QUALIFICATIONS:

When selecting candidates, we will be looking for the following essential skills, abilities, and experience:
Bachelor’s degree in computer science, engineering, math, or similar.
Prior experience in artificial intelligence, machine learning, and decision-making.
Programming skills in Python, C#, or any other programming language
Familiarity with data structures, data modeling, and software architecture.
Excellent communication and interpersonal skills.
Ability to travel internationally as needed; estimated 20%
Other valued, but non-essential skills, abilities and experience include:
Graduate degree in computer science, engineering, math, or similar
Innovative mind with a passion for continuous learning.
Competency with Distributed Control System configuration
Competency with cloud machine learning applications (Azure preferred)
Able to write robust code in Python and familiarity with relevant libraries.
Prior experience in reinforcement learning and simulation
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Salary range: 113,000 to 165,000 based on a 40-hour work week

Responsibilities may include, but are not necessarily limited to the following:
Design and deploy symbolic and machine learning based AI solutions using appropriate algorithms and techniques.
Create and maintain comprehensive technical documentation, including system architecture diagrams, design specifications, and developer guidelines.
Provide guidance and mentorship to colleagues, fostering a culture of learning and continuous improvement within the development team.
Collaborate with operations teams to ensure the seamless integration of AI systems into the overall infrastructure, considering deployment, monitoring, and maintenance.
Stay updated on industry trends, emerging technologies, and best practices to incorporate relevant advancements into the software architecture.