Machine learning Engineer

Who are we?

Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been rolling out solutions in major projects for over a decade – this is made possible by an international team of 7,600 people spread across 5 continents and more than 60 countries. Our solutions focus on four different Business Lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re focused on building and nurturing a top talent community where all our team members can achieve their full potential. Amaris is your steppingstone to cross rivers of change, meet challenges and achieve all your projects with success.

At Amaris, we strive to provide our candidates with the best possible recruitment experience. We like to get to know our candidates, challenge them, and be able to give them proper feedback as quickly as possible. Here's what our recruitment process looks like:

Brief Call: Our process typically begins with a brief virtual/phone conversation to get to know you! The objective? Learn about you, understand your motivations, and make sure we have the right job for you!

Interviews (the average number of interviews is 3 - the number may vary depending on the level of seniority required for the position). During the interviews, you will meet people from our team: your line manager of course, but also other people related to your future role. We will talk in depth about you, your experience, and skills, but also about the position and what will be expected of you. Of course, you will also get to know Amaris: our culture, our roots, our teams, and your career opportunities!

Case study: Depending on the position, we may ask you to take a test. This could be a role play, a technical assessment, a problem-solving scenario, etc.

As you know, every person is different and so is every role in a company. That is why we have to adapt accordingly, and the process may differ slightly at times. However, please know that we always put ourselves in the candidate's shoes to ensure they have the best possible experience.

We look forward to meeting you!

Job Description

Job description

Join our team and start a new adventure in an international and dynamic environment as Machine Learning Engineer. You will be able to fulfil your career expectations in a fast-growing organization.

Your missions

• Develop, test, and optimize artificial neural networks including CNN and RNN architectures.
• Contribute to AI architecture definition with focus on metadata management and data pipeline performance.
• Support cloud-based deployment of machine learning solutions.
• Apply supervised and unsupervised learning techniques, such as decision trees, logistic regression, PCA, and clustering.
• Implement and evaluate reinforcement learning algorithms such as Q-learning and DQNs.
  
  
  

Your profile

• Experience with deep learning and artificial neural networks (ANN, CNN, RNN).
• Experience with supervised learning algorithms such as linear/logistic regression, decision trees.
• Experience with unsupervised learning algorithms like K-means clustering or PCA.
• Experience with reinforcement learning techniques (Q-learning or DQN).
• Experience with cloud computing platforms (e.g., AWS, Azure or GCP).
• Academic background: Engineering schools or universities in computer science, data science, or similar.
• Fluent English and Italian
  
  
  

What We Offer

• An international community bringing together 110+ different nationalities.
• An environment where trust has a central place: 70% of our key leaders started their careers at the first level of responsibilities.
• A robust training system with our internal Academy and 250+ available modules.
• A vibrant workplace that frequently gathers for internal events (afterworks, team buildings, etc.).
• Strong commitments to CSR, notably through participation in our WeCare Together program.
• Remote policy: Possibility to work remotely 2 days per week.
  
  
  

Amaris Consulting is proud to be an equal-opportunity workplace. We are committed to promoting diversity within the workforce and creating an inclusive working environment. For this purpose, we welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics.