Machine Learning Engineer

ML6 (Headquarters: EU - Hybrid/Remote)

Python TensorFlow PyTorch HuggingFace Transformers scikit-learn GCP AWS Azure Machine Learning Data Pipelines MLOps Cloud Computing Consulting Docker Kubernetes AI 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 Machine Learning Engineer at ML6, you will design, develop, and deploy machine learning models to solve complex business problems for our clients. You will work on the full lifecycle of ML projects, from data exploration to production deployment.

**Responsibilities:**
- Develop and implement ML models using frameworks such as TensorFlow, PyTorch, or HuggingFace Transformers.
- Build and maintain data pipelines for training and inference.
- Deploy models into production environments on cloud platforms (GCP, AWS, Azure).
- Collaborate with data engineers, consultants, and clients to define requirements and deliver solutions.
- Apply MLOps principles to ensure robust and scalable deployments.
- Stay updated with the latest advancements in ML and AI research.
- Contribute to the technical excellence and knowledge sharing within ML6.

**Technical Skills:**
- Strong programming skills in Python.
- Solid experience with ML libraries and frameworks (TensorFlow, PyTorch, scikit-learn, HuggingFace).
- Experience with data processing and pipeline tools (e.g., Apache Beam, Spark).
- Hands-on experience with cloud platforms (GCP, AWS, Azure) and their ML services.
- Understanding of software engineering best practices and MLOps.
- Experience with containerization (Docker, Kubernetes) is beneficial.

**Ideal Candidate:** A skilled engineer with practical experience in building and deploying machine learning models. You are passionate about applying AI to real-world challenges, proficient with modern ML tools and cloud platforms, and enjoy working collaboratively in a consulting setting.