Ai jobs in Germany

This Senior AI/ML Engineer role focuses on designing, building, and deploying end-to-end machine learning and GenAI solutions; combining hands‑on model development with scalable MLOps engineering in a regulated environment. The position partners with cross‑functional teams to drive AI solutioning, governance, and enterprise integration for large‑scale digital initiatives.

Our client is a globally established financial institution with a major technology hub in Asia. They play a critical role in supporting international banking operations through the development of in‑house applications and enterprise‑level digital initiatives. With strong regional integration and a forward‑looking tech strategy, they continue to enhance operational efficiency and drive innovation across global markets.

• Design and deploy end‑to‑end ML and GenAI solutions using both traditional machine learning and LLM/Agentic technologies.
• Build scalable, production‑grade AI systems while ensuring compliance with AI governance and regulatory standards.
• Collaborate with business stakeholders to define use cases, develop solutions, and create Proof of Concepts.
• Implement MLOps best practices, including model versioning, monitoring, CI/CD, and automated retraining.
• Develop and maintain data pipelines to ensure model performance, scalability, and maintainability.
• Document workflows and risk assessments while supporting responsible AI practices and audit requirements.
• Partner with cross‑functional teams (CloudOps, DevOps, IT, Security) to integrate AI solutions into enterprise platforms.

• Degree or Master's in AI, ML, or Data Science with proven model development experience
• 8+ years in software development, data science, and ML, including 3+ years in AI engineering roles
• Strong Python skills, knowledge of ML/AI frameworks (TensorFlow, PyTorch, scikit‑learn, pandas) and LLM orchestration (Langchain, LangGraph, vLLM, LMDeploy)
• Experience with NoSQL/Graph databases, MLOps tools (MLflow, Airflow, Kubeflow), CI/CD pipelines, containerization (Docker/Kubernetes), and cloud platforms (AWS/GCP)
• Proficient in full ML lifecycle, including data wrangling, model development, deployment, monitoring, and data science techniques (supervised/unsupervised learning, NLP, time series)
• Governance & Compliance: Understanding of AI governance, model risk management, Responsible AI, bias/fairness testing, and regulatory requirements in regulated industries
• Strong problem‑solving, analytical, communication, and organizational skills, with adaptability, teamwork, and respect for cultural diversity

• Work on cutting‑edge ML and GenAI solutions at enterprise scale
• Opportunities for career growth, skill development, and hands‑on AI/ML experience
• Collaborative, multicultural, and supportive workplace environment
• Exposure to international projects and cross‑border digital initiatives
• Work with state‑of‑the‑art MLOps, cloud, and AI governance frameworks
• Competitive salary and attractive benefits package

To apply online please click the 'Apply' button. For a confidential discussion about this role please contact Cheryl Sim (Lic No: R24123823 / EA No.: 18C9065) on +65 6643 9748. © Michael Page International Pte Limited, company number 199804751N (including Page Executive (53295516A) and Page Personnel Recruitment Pte Ltd (Registration Number: 201736642C)) operates under the EA Licence Numbers of 18S9099 and 18C9065.