Overview
We are looking for an intern/working student to work within an expert team of Artificial Intelligence, Machine Learning and Deep Learning specialists. You will support this team on building architectures and developing AI, ML and DL related solutions to deliver world class practices within data engineering and machine learning modelling.
This means in more detail:
• Building production ready AI solutions on-prem and cloud
• Automate ML model training and production ready deployment
• Setup CI/CD pipelines for AI solutions (MLOps and DataOps)
• Managing AI Workflow at Scale
Desired Attributes
• Experience with AI, ML, DL and Analytic engagements
• Understanding of Machine learning, DNNs, CNNs, RNNs, Federated learning, supervised and unsupervised learning, and optimization techniques
• Good to have experience in predictive analytics, data mining and processing data at scale, based on structured andunstructured data
• Experience in working with some of the following programming… languagesand frameworks: Python, R, Julia, Tensoflow, PyTorch, Kubeflow, KFServe, Hadoop, Spark or comparable products.
Optional Attributes
• Exposure to GPU, Container and Kubernetes
• Experience with database systems including BigQuery, Postgres,
• Knowledge and experience in some of the key AI platform, e.g. Microsoft Azure, Google AI, Amazon AWS
Education
• You must be a current student in a Bachelor / Master degree in one of the following technical disciplines: Computer Science, Software Engineering, Information Technology or related subjects like Mathematics, Physics.
• You should have the unrestricted right to work in Germany for the entire duration of the internship / working student contract.
• You are available to work between 6 to 12 months either part time or full time (depending on course requirements).
• Happy to work in a virtual environment while social distancing restrictions or office closures are in place. We take the health and safety of our employees seriously
Company:
NetApp, Inc.
Qualifications:
Language requirements:
Specific requirements:
Educational level:
Level of experience (years):
Senior (5+ years of experience)
