Role
As a Lead Machine Learning Engineer, you will own the most technically complex and high-impact projects from conceptualization over architecture design to production deployment.
You will :
- Set direction for a technical team, ensuring architectural excellence and long-term solution maintainability.
- Lead and mentor junior and senior engineers, raising the technical bar across projects.
- Stay hands-on with high quality code contributions to data processing, modeling and deployment pipelines while delegating effectively.
- Partner with clients to translate complex business challenges into clear technical roadmaps and deliver measurable business outcomes.
- Drive adoption of modern ML best practices and state-of-the-art methodology from system design and architecture over modelling to MLOps.
You are not only passionate about machine learning, but also about shaping how data-driven insights create value for our clients. You thrive in dynamic environments, balancing hands-on technical work with strategic decision-making and team leadership.
This role goes beyond building models : you will be responsible for technical strategy, quality standards and growing engineering talent, shaping the future of our ML delivery practice.
Requirements
To succeed in this role, you bring a combination of expertise, experience, and skills including :
- 6 - 8 years of experience in machine learning, data science, or related fields.
- Proficiency in Python programming.
- Expertise in ML / DL libraries and frameworks (Scikit-learn, TensorFlow, Keras, PyTorch).
- Experience with data visualization tools (Matplotlib, Seaborn, Power BI, Tableau).
- Deep learning experience (RNNs, CNNs) and strong knowledge of clustering, regression, and classification methods.
- Experience in designing, developing, and deploying LLM-based applications, including RAG systems, with a strong understanding of prompt engineering, vector databases, and knowledge retrieval pipelines.
- Familiarity with Unix / Linux environments, REST APIs, and microservices.
- Experience with ML deployment, production pipelines, and scalable architectures on platforms such as AzureML, AWS and GCP.
- Experience with Data and AI platforms (Databricks, Dataiku, Snowflake). Certifications are a plus.
- Demonstrated technical and project leadership, with the ability to guide complex initiatives and deliver results.
- Strong mentorship skills and experience managing or coaching teams to reach their full potential.
- Excellent collaboration and communication skills, capable of bridging technical and business perspectives.
- Fluent in English. Other languages are a plus.
Benefits
What we offer
- A yearly education budget to steep your learning curve
- A yearly sport budget because a fit body leads to a fit mind
- A position that enables you to have an impact on 1’000s of people
- An international, knowledgeable, and passionate team with a strong collaborative mindset
- Opportunity to join a talented and experienced company with proven traction in its journey
- An open and transparent culture