Software Engineer
(Machine Learning)

Full time · Milan, Italy
Apply for this job

Description

We are looking for a Software Engineer (Machine Learning) to join our team. In this role, you will get to develop a range of machine learning solutions to solve lead qualification, digital credit-scoring and fraud-prevention problems.

We are interested in candidates with solid analytical and problem solving skills, creativity and a desire to see each project through, from the early stages to deployment and follow-up monitoring.

What you will be doing:

  • Design, build and test Machine Learning models, such as supervised ensemble models (Random Forest, XGBoost, CatBoost, etc.) as well as Deep Learning models

  • Deploy ML models, exposing model predictions through API

  • Collaborate with Software Engineers and other stakeholders at the integration of our ML products

  • Come up with ML solutions to constantly optimize our work pipeline and replace time-consuming processes

  • Develop tools to aid in the post-deployment assessment of our ML products

What are the requirements

  • 3+ years of experience in developing ML/DL models

  • Solid programming skills and understanding of software architecture

  • Solid knowledge of the most common ML Python libraries (scikit-learn, Keras, Tensorflow)

  • Familiarity with Jupyter notebooks, PyCharm and REST API

  • Ability to work autonomously and to balance multiple projects and deadlines

  • Good communication skills and ability to explain statistics and ML concepts to both internal and external stakeholders in a simple and intuitive manner

Nice to have

  • Good working knowledge of classical and bayesian statistics tools and test (such as Linear and Logistic regression, t-tests, ANOVA, bayes factor, hierarchical models) and their applications to experimental settings

  • Experience with AWS ML related tools, particularly SageMaker, Augmented AI, Ground Truth

What do we offer

You will have the chance of working with the latest technology in a cloud-based environment.

While and we try keeping our code up with the current standards we always looking for ways to improve our machine learning environment, you will have the chance of steering our current best-practice and house rules with your day to day work!

We also provide you with company welfare, food stamps, smart-working, and a fully stocked kitchen with anything you like.