AI Engineer

This is a fantastic opportunity to join a fast-growing company at the heart of the digital revolution. Our software product is revolutionising manufacturing through automation. We are trusted by global brands and work across sectors (mobility, consumer goods, machinery etc).

We have a talented and ambitious team. We value integrity and are passionate about our mission to revolutionise advanced manufacturing.

This is your opportunity to:

• Be part of a fast-growing software product company in advanced manufacturing.
• Learn and fulfil your potential in an open, knowledge-driven culture.
• Share in our ambitious vision and make a meaningful difference towards autonomous manufacturing.

Responsibilities:

• Develop, test, and deploy machine learning models and algorithms for various applications.
• Design and implement end-to-end AI solutions that integrate with existing systems.
• Collaborate with data scientists, software engineers, and product teams to understand business needs and translate them into technical requirements.
• Optimize and scale AI models for performance, accuracy, and sustainability.
• Research emerging AI trends and techniques to continually improve the AI solution offerings.
• Prepare and maintain documentation on design, code, and processes to ensure organizational knowledge retention.
• Monitor and evaluate the performance of AI systems in production, identifying areas for improvement or further development.

You will be joining a well-versed team if you have:

• Bachelor’s or Master’s degree in Computer Science, Electrical Engineering, Data Science, or a related field.
• Proven experience in developing machine learning models and deploying AI solutions.
• Strong programming skills in languages such as Python, Java, or C++.
• Proficiency with machine learning frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn).
• Experience with data processing frameworks and tools (e.g., Pandas, NumPy) and familiarity with databases (SQL, NoSQL).
• Solid understanding of deep learning, NLP, computer vision, or other specialized areas within AI is a plus.
• Experience with cloud platforms (AWS, Google Cloud, Azure) and containerization (Docker, Kubernetes) is beneficial.
• Excellent problem-solving skills and the ability to work in a fast-paced, collaborative environment.
• Good communication skills and the ability to translate complex technical concepts to non-technical stakeholders.
• Commitment to continuous learning and development in the field of AI and emerging technologies.