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Machine Learning Engineer (Internship)

​WHAT WILL YOUR JOB OFFER BE LIKE?
Full-time, with 3-6 months internship and near certain permanent employment afterwards, based on performance and cultural fitting.


WHERE DOES THE MAGIC HAPPEN?
Milan, Via Calabiana 6. We work in a vibrant co-working space called Talent Garden located in a very up and coming neighborhood, with plenty of hip pubs for aperitivos where we celebrate our victories. The co-working space has a warm and welcoming crowd of all ages allowing plenty of knowledge sharing and hangout opportunities. If you are an introvert, then sweat not, we have a lot of quiet spaces and cubicles where you can code away in solitude.


PERKS OF WORKING WITH QUICK ALGORITHM
  • Breakfast, lunch, snacks and access to a top-notch cafe awaits you at QA
  • Gadgets and accessories to help you roll out code like hot cakes
  • Books and online resources to your heart's content for skill and personal development
  • Unlimited leave plans
  • Possibility to work from home


WHAT YOU WILL BE DOING AT QUICK ALGORITHM
  • Work with Product Managers to implement and design the next generation of Quick Algorithm applications.
  • Conduct preliminary data analysis using Python.
  • ​Develop Machine Learning services integrated with our SaaS Platform.
  • Deploy your code to production deployments based on Docker and Kubernetes.
  • Architect and develop efficient and scalable ETL & streaming pipelines.
  • Participate in code reviews and identify ways to improve code-quality.
  • Implement small features and deploy them often (continuous integration and deployment).
  • And work on many other cross-department tasks as needed in a Start-Up environment.​
​

WHAT WE EXPECT YOU TO KNOW BEFORE YOU JOIN
  • Have completed or currently doing coursework in Data Science, Machine Learning or Econometrics.
  • Experience with Python and ML libraries (e.g. Numpy, Pandas, PyTorch, Tensorflow).
  • Familiarity with SQL databases.
  • Comfortable with development and testing in a Unix programming environment (e.g. GNU/Linux distributions, MacOS).
  • Familiarity with distributed version control systems (Git).
  • ​Ability to work autonomously, self-disciplined.
  • Ability to review and QA your work.
  • Precise and concise oral and written communication skills in English.


NICE TO HAVE
  • Experience in ORM frameworks (e.g. SQLAlchemy).
  • Exposure to Big-Data frameworks (e.g. Spark, Airflow, Kafka, Druid).
  • Experience in Cloud and containerized environments (e.g. AWS, GCP / Docker).


SOUNDS GREAT! NOW, HOW DO I APPLY FOR THIS JOB
Click on the "Apply Now" button below and please take a moment to introduce yourself and tell us why you would be a fit for Quick Algorithm. Fill the form with your information and your resume.

Apply Now
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