Job description
As a Machine Learning Engineer with Amaris Consulting, you’ll build and deploy machine learning models that help businesses derive actionable insights from complex datasets. You’ll collaborate with data scientists, software developers, and business stakeholders to create scalable solutions that directly impact client success.
Responsibilities:
- Design, develop, and implement machine learning models for various applications, including predictive analytics, natural language processing, and computer vision.
- Build and maintain robust data pipelines and workflows, ensuring data integrity and availability for model training.
- Experiment with different algorithms and optimize model performance to meet project requirements.
- Deploy machine learning models in production environments using cloud platforms (AWS, GCP, or Azure) and MLOps best practices.
- Work closely with data engineers to source, clean, and transform data for machine learning applications.
- Analyze and evaluate model accuracy, scalability, and overall performance; perform ongoing model maintenance and tuning.
- Develop APIs and integrate models with client systems to ensure seamless end-to-end implementation.
- Document the machine learning lifecycle, from initial data exploration to model deployment and monitoring.
- Collaborate with cross-functional teams, translating business needs into technical solutions and ensuring alignment with project goals.
Key Skills and Qualifications:
- 🎓 Master’s degree in Computer Science, Data Science, Machine Learning, or a related field.
- 💼 1+ years of experience as a Machine Learning Engineer or similar role in data science or AI.
- 🐍 Proficiency in Python and common ML libraries (e.g., Scikit-Learn, TensorFlow, PyTorch).
- ☁️ Experience with cloud platforms such as AWS, GCP, or Azure for model deployment and management.
- 🔄 Knowledge of MLOps tools and practices for deploying, monitoring, and scaling models in production.
- 🛠️ Familiarity with data pipeline and ETL tools, SQL, and big data frameworks (e.g., Spark) is advantageous.
- 🗣️ Excellent communication skills for explaining technical concepts to non-technical stakeholders.
- Proficiency in French and English or Dutch and English is required.
Why Join Amaris Consulting?
- 🚀 Innovative Projects: Work on pioneering AI projects across multiple industries in Belgium.
- 📚 Continuous Learning: Access to advanced training, certifications, and learning resources.
- 📈 Career Advancement: Well-defined career progression paths and growth opportunities.
- 🤝 Supportive Team Environment: Collaborate with a diverse team of experts and innovators.
- ⚖️ Work-Life Balance: Flexible policies to support a healthy work-life integration.
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.
Who are we?
Amaris Consulting is an independent technology consulting firm providing guidance and solutions to businesses. With more than 1000 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 7500 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!