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SAP AI Engineer Customer Success 
Bulgaria, Burgas 
96021534

05.12.2024

WHAT YOU’LL DO

  • Work on development and conceptual tasks along the entire AI product lifecycle as well as on technology-related enablement of AI Platform users within an agile team.

  • Contribute to infrastructure maintenance and to building reusable enterprise-grade software components required for fast delivery of productive ML models, increased process automation and accelerated adoption of MLOps best practices across the AI lifecycle.

  • Support in ML engineering, ML operations, Data Science tasks and maintenance of models including retraining and model optimizations with a solid Data Science and Data Engineering skillset.

  • Take over technical responsibility for individual software components, data science models and ETL pipelines.

  • Support our AI/ML architectures for sustainable production readiness.

  • Automate AI infrastructures for the data science team.

  • Contribute to team’s winning plan, present success story and contribute to the creation of product-related non-code-assets (such as rollout and knowledge transfer material).

  • Educate customers, partners and stakeholders about AI/ML.

  • Continuous learning and familiarization with state-of-the-art algorithms and technologies in agile software engineering, MLOps and AI.

WHAT YOU’LL BRING

  • Bachelor’s or master’s degree in computer science, data science, engineering or related technical fields.

  • At least 2+ years work experience in data science, data engineering and software development.

  • Solid understanding of AI/ML concepts including Deep Learning, GenA, MLOps and AI lifecycle.

  • Solid understanding of a variety of Python libraries and Machine Learning frameworks such as Numpy, Pandas, Keras, scikit-learn, TensorFlow, PyTorch.

  • Experience in Python backend development such as FastAPI, Postgres, OpenAPI.

  • Experience in DevOps practices and tools such as Jenkins, GitHub, XMake.

  • Experience with development tools such as Jupyter, Docker, Kubernetes, Terraform, Github and major (ML) programming languages such as Python, Java etc.