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
WHAT YOU WILL BE DOING AT QUICK ALGORITHM
WHAT WE EXPECT YOU TO KNOW BEFORE YOU JOIN
NICE TO HAVE
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.
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.
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