AI Engineer Intern (175329BR)
When you are part of the team of more than 75,000 extraordinary minds at Thermo Fisher Scientific, you will do work with broad societal impact: helping customers find cures for cancer, protecting the environment, making sure our food is safe, and much more. Your work will have real-world impact. Thermo Fisher is the world leader in serving science, with annual revenue exceeding $25 billion. Our Mission is to enable our customers to make the world healthier, cleaner and safer. Whether our customers are accelerating life sciences research, solving complex analytical challenges, improving patient diagnostics and therapies, or increasing productivity in their laboratories, we are here to support them.
Our Co-op program will give you a chance to get real world business and IT experience and build your network before graduation. In this position, you will be expected to learn about how IT supports our business units with software and AI expertise. You will focus on developing AI solutions that will make our scientific instruments smarter and enable the next generation of scientific discovery. You can expect to gain valuable insights into your chosen career field.
Summary of Co-op
The CSO AI Engineer Co-op position provides an opportunity for students who are currently pursuing a data science, computer science, computer engineering, or similar degree to get hands on experience working with software developers in a fast-paced environment. The position starts in July, paid working 40 hours per week through December. We are looking for students who are creative in tackling complicated problems and are willing to solve technical challenges.
Qualifications
- Full-time student in data science, computer science, computer engineering, or similar field
What are the exciting things will you be working on?
- Develop AI solutions to help Thermo Fisher improve business and scientific workflows utilizing computer vision technologies
- Collect and prepare images for object detection and image segmentation tasks
- Train deep learning models to detect objects and segment images
- Learn to deploy deep learning models on mobile and edge devices
What are the cool technologies will you be learning?
- Computer vision deep learning models
- Application containerization using Docker
- Edge devices
- Mobile application development
- Amazon and Azure Cloud machine learning/AI services
- Latest data science and machine learning technologies – PyTorch, Keras/Tensorflow, OpenCV, Scikit-learn, Jupyter, Pandas, Amazon SageMaker, Azure Machine Learning
- Flask development framework
How will you get here?
Required Education/Experience:
- Good programming skills in Python
- Familiarity with working in Linux and Windows environments
- Ability to work independently and as a member of a cross-functional team
Knowledge, Skills, Abilities
- Demonstrate a passion for machine learning
- Basic knowledge in machine learning, artificial intelligence and big data analysis is a plus
- Basic knowledge of statistics, linear algebra, and calculus is a plus
- Knowledge of Amazon/Microsoft/Google cloud is a plus
- Some exposure to web development is a plus