5+ years of experience in AI/ML engineering, with advanced coding skills in Python (preferred) or Java, and a solid understanding of software engineering principles
Experience with multi-agent or generative AI frameworks such as LangChain and CrewAI
Background in NLP foundations, including model training and deployment
Experience with backend frameworks such as FastAPI, Flask, or Django, and microservice architectures
Familiarity with containerization and orchestration tools such as Docker, Kubernetes, and GitHub Actions, along with MLflow
Experience implementing CI/CD and MLOps pipelines in cloud environments such as Azure ML, Databricks, or AWS
Hands-on experience with data ETL, APIs, and model deployment workflows
Knowledge of distributed systems and data platforms for big data
Understanding of Agile and SAFe methodologies and collaborative engineering practices
Fluent English and a proactive, problem-solving mindset
Knowledge of ML/AI methodology and AI architectures
Background in Data Science
Familiarity with SAP AI Core and SAP BTP
Experience with agile frameworks such as Scrum and SAFe, and project management tools such as Jira