Who we are
At fickleMEDIA we work on some of the most challenging problems in computer vision, generative AI, and differentiable rendering. We believe in a future where intelligent compute enables small and large companies to have the power to understand, create, and transform content in ways only limited by imagination. We're looking for contrarians, scientists, engineers and creators interested in answering powerful, driving questions in ways that fundamentally change the way creative content is generated in the future.
Internship ML Engineer - DevOps
We are looking for students who want to impact the world through advances in machine learning / deep learning, GANs, VAEs, semantic understanding, rendering, and related fields in machine learning and artificial intelligence. This is an excellent opportunity to create revolutionary technology to support large scale intelligent solutions.
As a member of the team, you will work on some of our most ambitious technical challenges, and develop new ML solutions that have direct impact on our products.
Get to know the role(s):
- Build out backend architecture and deep learning pipeline for scalable inference of ML models
- Create Docker containers for reproducible and distributed training and inference
- Participate in defining out critical roadmap of ML services
Any of the above options are available, or a combination of the above, depending on experience and motivation. Please note which role(s) you would be interested in.
Must have:
- Strong fundamentals in Python
- Experience with modern deep learning frameworks (e.g. TensorFlow, Pytorch, Keras)
- Willingness to learn in a fast-paced environment
- Curious, self-motivated, and enjoy being part of a team
- Familiarity using version control systems (i.e. Git)
- Experience with Docker containers
Good to have:
- Experience with cloud-based machine learning services (e.g. AWS, Google Cloud)
- Familiarity with Kubernetes
- Experience creating and exposing APIs
- Familiarity with Amazon SageMaker
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- Company:
fickleMEDIA - Designation:
Internship ML engineer - DevOps - Profession:
IT / Information Technology - Industry:
Artificial Intelligence / Smart Automation