Senior Machine Learning Engineer at AI CoE

vor 3 Wochen

Walldorf, Baden-Württemberg, Deutschland SAP Vollzeit

About the Role

We are seeking a highly skilled Senior Machine Learning Engineer to join our Artificial Intelligence CoE team at SAP. As a key member of our team, you will be responsible for driving AI development and leading our engineering scrum teams as technical code and architecture owner.

Key Responsibilities

  • Lead the development of AI services from Proof of Concept to Production
  • Setup and develop new Big Data pipelines to productize data ETL workloads for different AI services
  • Develop AI/ML models to solve real-life business problems, including Data Science exploration and model productization
  • Work with stakeholders across the organization to identify opportunities for leveraging company data to drive business solutions
  • Productionize AI PoCs with good software engineering, incorporating CI/CD pipelines, deployment, and MLOps
  • Take ownership of AI services in development and production
  • Lead, guide, and mentor junior colleagues and evolve their AI engineering skillset

Requirements

  • Bachelor's or master's degree in machine learning, computer science, engineering, or related technical fields
  • Vast coding knowledge of at least one programming language, such as Python or Java
  • Deep knowledge of Distributed Computing Systems for Big Data Engineering, such as Databricks (PySpark/Scala)
  • Exceptional understanding of AI/ML concepts
  • Extensive coding experience in applying ML frameworks, such as Keras, scikit-learn, TensorFlow, PyTorch, Langchain, OpenAI, Huggingface
  • Vast general software engineering best-practices and experience working in a scrum-like software engineering unit
  • Productization technologies and tools, such as Docker, K8s, GitHub, VSCode, Linux
  • CI/CD and ML Ops frameworks, such as Jenkins, GitHub Actions, MLFlow, etc.
  • Cloud-deployment offerings, such as Azure ML, Databricks, AKS, Event Hubs, Azure Data Factory, Azure Functions, or similar in AWS/GCP
  • Some form of code ownership and scrum team leadership experience
  • Curiosity to learn about different AI applications and new technologies in general
  • Excellent spoken and written knowledge of English, as well as a collaborative mindset
  • Experience with SAP AI offerings, such as AI Core, AI Business Services, Joule, is a plus
  • Understanding of Agile/Scaled Agile (SAFe) methodologies is a plus
  • Python backend development, such as Flask, Django, FastAPI, OpenAPI, is a plus

About the Team

The SAP Intelligent Enterprise Solutions (IES) department has the purpose to 'Deliver and Run the Intelligent Enterprise'. IES is SAP's technology backbone and most compelling reference customer, and as such, we influence product development and strategy, with our customer experience at heart.

Within IES, our 'Artificial Intelligence CoE' team has the purpose to help SAP transform into a data-driven intelligent enterprise, by empowering SAP employees to simplify processes, leveraging AI technologies. Our vision is to be an advocate and enabler of best-in-class AI within SAP. Our mission is to deliver business value through AI in SAP's processes and be recognized as AI Thought Leader in the market.

We implement both standard SAP AI and custom-built solutions across all LoBs. We are customer zero of SAP standard AI solutions and provide continuous feedback to standard development for product improvement. We provide an AI Platform and Infrastructure to entire SAP AI practitioners for building their own ML solutions in the entire ML lifecycle following MLOps methodology. Furthermore, we build and operate a central chatbot platform based on SAP Conversational AI with the aim to provide capabilities from all lines of business through a single digital assistant. We also build those capabilities (individual chatbots) as well as support other teams in building further ones.

Within our team, we practice a trust-based working model with emphasis on great collaboration, agility, and transparency. We offer a lot of room for creativity and freedom to experiment. Our operating model is based on autonomous/agile team concept (SAFe) and SAP New Work practice where we put people at the center of everything we do.

About SAP

SAP innovations help more than four hundred thousand customers worldwide work together more efficiently and use business insight more effectively. Originally known for leadership in enterprise resource planning (ERP) software, SAP has evolved to become a market leader in end-to-end business application software and related services for database, analytics, intelligent technologies, and experience management. As a cloud company with two hundred million users and more than one hundred thousand employees worldwide, we are purpose-driven and future-focused, with a highly collaborative team ethic and commitment to personal development. Whether connecting global industries, people, or platforms, we help ensure every challenge gets the solution it deserves. At SAP, you can bring out your best.

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