AI/Machine Learning Intern

Who we are:

Johnson Controls is a global diversified technology and multi-industrial leader serving a wide range of customers in more than 150 countries. We create intelligent buildings, efficient energy solutions, integrated infrastructure and next generation transportation systems that work together seamlessly. Bring your passion for innovation and we will challenge you to help us create a better tomorrow.

What you will do:

• AI/ML Technology Intern within Technical Communications. The Technical Communications department is developing an AI Machine Translation (MT) solution for translating technical content.
• This involves training and building custom neural machine translation engines and developing and deploying machine translation workflows for various user types.
• The Technology Intern will provide project and development support using technologies such as XML, application program interfaces (API), Python, content management systems, augmented reality, machine learning, and natural language processing.
• Projects may include efforts related to API engineering, translation automation, CRM systems, taxonomy development, and systems integration.
• Work with the Translation Centre of Excellence team to implement MT solutions for technical content.
• Design and implement technical solutions.

Preferred Education / Experience / Interests:

• Completing or recently completed BSc or MSc in artificial intelligence, computer science, IT, software engineering, information design and development, or similar.
• Interest in natural language processing.
• Machine learning.

Desired Skills:

• Problem solving • Interest in languages

• Passionate about working in areas such as AI, API engineering, translation automation, and user experience (UX)
• Creative, ability to think outside the box, and willingness to challenge the status quo
• Excellent communication skills and the ability to influence people
• Detail-oriented with strong analytical skills
• Ability to build relationships and work successfully in global teams
• Technical acumen and an eagerness to learn
• Good data analytics and attention to detail
• Excellent administration skills.