Location: Ghent, Amsterdam (On-site/hybrid)   |   Full-Time
Python TensorFlow PyTorch HuggingFace Transformers GCP AWS Azure Machine Learning Data Engineering Cloud Infrastructure Data Pipelines MLOps LLM Consulting Senior Kubernetes Docker AI Engineer Data Engineer Staff Engineer
**Company:** ML6 is a Machine Learning consulting company building end-to-end ML solutions, keeping clients at the forefront of innovation using the latest AI research. We work with major clients across Europe on diverse, impactful projects.

**Role:** As a Senior ML/Data Engineer, you will lead the design and implementation of complex machine learning systems and robust data infrastructure for our clients. You'll work on challenging projects, applying cutting-edge techniques and mentoring junior team members.

**Responsibilities:**
- Design, build, and deploy scalable ML models and pipelines.
- Develop and maintain data lakes and warehouses on cloud platforms (GCP, AWS, Azure).
- Implement ML solutions using frameworks like TensorFlow, PyTorch, and HuggingFace Transformers.
- Ensure solutions are production-ready, focusing on scalability, reliability, and MLOps best practices.
- Collaborate closely with clients to understand requirements and deliver impactful AI solutions.
- Contribute to ML6's collective intelligence by sharing knowledge and exploring new technologies.
- Mentor junior engineers and contribute to technical leadership within projects.

**Technical Skills:**
- Strong proficiency in Python.
- Deep experience with ML frameworks (TensorFlow, PyTorch, HuggingFace).
- Expertise in building data pipelines and working with data storage solutions.
- Proven experience with cloud platforms (GCP, AWS, Azure).
- Solid understanding of MLOps principles and tools.
- Experience with containerization (Docker, Kubernetes) is a plus.

**Ideal Candidate:** An experienced engineer with a passion for solving complex problems using AI/ML. You possess strong technical leadership skills, excellent communication abilities, and a drive to deliver high-quality, innovative solutions for clients. You thrive in a consulting environment and enjoy working on diverse projects.
Post Date: May 16, 2025