AI & Machine Learning Engineer (M/F)
Core
Design and develop end-to-end Machine Learning solutions, build scalable ML architectures, and industrialize AI solutions for clients in banking, insurance, transportation, energy, automotive, and public sectors.
Role type
Machine Learning Engineer
Builds
Scalable, production-ready AI solutions and ML architectures
Domain
Consulting, Data & AI Advisory
Deliverable
production ML models
Required skills
Python, Scikit-learn, TensorFlow, PyTorch, Keras, MLflow, Kubeflow, DVC, AWS SageMaker, Azure ML, GCP Vertex AI, Docker, Kubernetes, FastAPI, Flask, SQL, NoSQL
Preferred skills
MLOps frameworks, CI/CD pipelines, model monitoring, feature engineering, data preprocessing
Technologies
Python, TensorFlow, PyTorch, Keras, MLflow, Kubeflow, DVC, AWS SageMaker, Azure ML, GCP Vertex AI, Docker, Kubernetes, FastAPI, Flask
Responsibilities
Design and develop end-to-end Machine Learning solutions aligned with business needs; Build and deploy scalable ML architectures across cloud and on-premise environments; Develop and maintain data pipelines for training, evaluation, and model deployment; Implement MLOps frameworks to industrialize the ML lifecycle in production; Optimize model performance and set up monitoring and continuous improvement strategies; Develop APIs and microservices to expose ML models to business applications
Seniority
Mid-level, hands-on IC