Data Scientist (AI Focus) - V.I.E
Role details
Job location
Tech stack
Job description
Join our team and start a new adventure in an international and dynamic environment, where you will be able to fulfil your career expectations in a fast-growing organization. As a Data Scientist specializing in artificial intelligence, you will contribute to the design, development, and deployment of scalable AI solutions that address real-world business challenges. You will collaborate with technical and business teams to integrate intelligent systems at the core of our clients' digital transformation journeys.
Your missions
Design, develop, and deploy AI/ML models and intelligent systems for diverse business use cases Operationalize models at scale using cloud platforms such as Azure, AWS, or GCP Leverage modern AI tooling, including generative AI tools and MLOps frameworks Collaborate with business stakeholders and technical teams to integrate AI into core business processes Ensure high standards in model performance, scalability, fairness, and ethical use of AI Document findings, experiments, and best practices to contribute to the team's knowledge base Perform data preprocessing, feature engineering, and exploratory data analysis on large datasets Implement and evaluate machine learning algorithms to boost model performance and reliability, 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!
Requirements
Do you have experience in TensorFlow?, Experience with Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn Experience with cloud environments: Azure, AWS, or GCP Experience with LLMs, NLP and Generative AI Experience with MLOps, CI/CD, and model monitoring tools Academic background: Degree in Data Science, Machine Learning, Computer Science, Engineering, Mathematics, or a related field Fluent English & French Experience with AI generative tools You have a proactive mindset, strong analytical and problem-solving skills, and thrive in a fast-paced, collaborative environment
Benefits & conditions
Advantages: An international learning environment. Extensive training and certifications. A R&D laboratory where you can develop your skills on innovative projects. The opportunity to bring new ideas to develop a thriving business. Individual coaching and mentoring, as well as the chance to learn from experts for your professional and personal growth. An attractive, tailor-made, and evolving career path.
We are an independent company that values: Agility: thrive in a flexible, dynamic, and stimulating environment. International scope: enjoy daily international exchanges and numerous mobility opportunities in over 60 countries. Intrapreneurship: engage in related topics or develop your own Business Unit. Attentive management: with a limited number of consultants, your manager will adapt to your profile and support you throughout your professional journey.
