DevOps/MLOps Engineer Intern

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Our data scientists & engineers are helping to shape our marketing strategy for a digital world and at scale. We are looking for a DevOps Engineer Intern to take care of our Machine Learning Models in production.

What you'll achieve:

This position will merge DevOps, software engineering, data science, and data engineering to help deploy machine learning models that can optimize business and customer experiences at scale. You will use your technical knowledge and software development to build solutions that accelerate the development of Artificial Intelligence and Machine Learning capabilities across the company. The models that we build are essential ingredients to supply our customers & sales with relevant product recommendations and creative breakthroughs for our business. You & your team are critical to our success!

You will:

• Develop high availability and highly scalable applications which will be used by both internal and external customers.
• Participate in product development in all stages from planning and design to development, testing and documentation of ML solutions and data products.
• Generate technical documentation as well as unit and functional tests.
• Adhere to DevSecOps practices to protect underlying data/infrastructure assets.
• Utilize a range of applicable technologies across the entire Model Lifecycle (e.g., data science packages, statistical and machine learning techniques, distributed computing, Big Data, CI/CD).

Take the first step towards your dream career

Every Dell Technologies team member brings something unique to the table.

Here’s what we are looking for with this role:

Essential Requirements:

• Experience with scripting languages as Python and Shell
• Experience designing and developing APIs in Python (FastAPI, Flask or Django)
• Experience with Python testing frameworks such as unittest or pytest
• Basic knowledge of Docker, Kubernetes in a microservices architecture.

Desirable Requirements:

• Mathematical knowledge and advanced statistical analysis skills
• Experience with Github, Gitlab, BitBucket or any other code versioning tool
• Machine Learning or Artificial Intelligence experience

Salary: 6.60 EUR gross hourly