AI Engineer
Indexed description
Our aim is to shape a better future for our planet through supporting the energy transition, (bio)technology, artificial intelligence, industrial cybersecurity, etc. We are committed to the United Nations sustainable development goals by utilizing our ability to measure and connect.
About The Team
Our 18,000 employees work in over 60 countries with one corporate mission, to "co-innovate tomorrow". We are looking for dynamic colleagues who share our passion for technology and care for our planet. In return, we offer you great career opportunities to grow yourself in a truly global culture where respect, value creation, collaboration, integrity, and gratitude are highly valued and exhibited in everything we do.
Job Description
- Design, develop, and deploy AI/ML-based applications using Python and modern frameworks
- Design and Implement backend services (REST APIs, FastAPI, Flask, or Django) and frontend interfaces (React, Angular, or Vue)
- Develop compelling business cases for the adoption of new technologies, considering feasibility, risks, and potential return on investment
- Collaborate with data scientists, domain engineers, and product managers to define solution requirements
- Integrate AI modules with industrial systems (e.g., OPC-UA, historians, or MES systems)
- Assist in developing and implementing go-to-market strategies for commercially viable technology solutions
- Stay current on industry trends, attending conferences, workshops, and actively researching emerging technologies
- Masters/Degree in Computer Science, Data Science, or related field
- Chemical, Instrumentation engineering background with Software development and AI engineering could also be considered
- 5+ years experience as Software Engineer
- Strong expertise in AI/ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, etc
- Proficient in programming languages such as Python, .NET, or C++
- Experience with cloud platforms (AWS, Azure, GCP) and containerization technologies (Docker, Kubernetes)
- Deep knowledge of machine learning algorithms, deep learning, NLP, LLM and computer vision
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