Who are we? Amaris Consulting is an independent technology‑consulting firm that provides guidance and solutions to businesses. With more than 1,000 clients across the globe, we have been delivering solutions on major projects for over a decade. Our international team of 7,600 people spans 5 continents and more than 60 countries. We focus on four business lines: Information System & Digital, Telecom, Life Sciences and Engineering. We’re dedicated to building and nurturing a top talent community where every team member can reach their full potential. Amaris is your stepping stone to cross rivers of change, meet challenges, and succeed on every project. At Amaris, we strive to give candidates the best recruitment experience. We learn about you, challenge you, and provide swift feedback. Our recruitment process is as follows: Brief Call We start with a brief virtual or phone conversation to get to know you, understand your motivations, and confirm that we have the right job for you. Interviews We typically conduct three interviews, varying by seniority. You will meet your line manager and other team members related to your future role. We discuss your experience, the position, and expectations, and you learn about Amaris culture and career opportunities. Case Study If required, you may be asked to complete a role‑play, technical assessment, or problem‑solving scenario. Every candidate and role is unique, so we adapt accordingly. We always put ourselves in the candidate’s shoes to ensure the best experience. We look forward to meeting you! Job description Are you a skilled ML Engineer ready for your next adventure? Amaris Consulting is seeking a motivated individual with a strong background in machine learning to join our Data & AI Center of Excellence in Brussels. This is a great opportunity for professionals with keen analytical abilities, a strong technical sense, and excellent communication skills. Your Responsibilities Design, build, and train machine learning models to address complex business problems. Fine‑tune model performance through feature engineering, hyperparameter tuning, and validation techniques. Develop pipelines to deploy machine learning models into production, ensuring reliability and scalability. Work closely with data scientists, engineers, and business stakeholders to align model outcomes with strategic goals. Stay up to date with emerging ML techniques and tools, contributing to continuous improvement initiatives. Your Profile We are seeking a candidate with a strong background in machine learning and excellent problem‑solving skills. Your attention to detail and ability to simplify complex information will set you apart. You thrive in collaborative environments but can also work independently when needed. Master’s degree in Computer Science, Information Systems, or a related field. Proficiency in programming languages such as Python and experience with ML frameworks (TensorFlow, PyTorch, etc.). Understanding of statistical methods, data processing, and model evaluation techniques. Excellent communication skills and the ability to work in a collaborative, fast‑paced environment. Experience with cloud‑based ML platforms (AWS SageMaker, Google AI Platform, Azure ML). Proven track record in deploying machine learning models at scale. 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, and 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 more than 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. 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. We welcome applications from all qualified candidates regardless of gender, sexual orientation, race, ethnicity, beliefs, age, marital status, disability, or other characteristics. #J-18808-Ljbffr