SAP AI Development Expert-Product Technology & Data - Tools 

India, Karnataka, Bengaluru 

561603312

AI Expert – (T4) Product, Technology & Data - Tools India

Product, Technology & Data - Tools India is part of the board area Office of the CEO and is responsible for defining, designing & developing applications that support product development at SAP.

• We are the team responsible for several innovative applications including:
• · Hyperspace (SAP’s official platform for Continuous Integration & Delivery)
• · SAP Jira (SAP’s official backlog management tool with over 45,000 end-users)
• · Lucid Capacity (simplified capacity management for managers)
• · SAP Transformation Navigator (provides guidance to customers on charting their path to an intelligent enterprise. Winner of the 2017 Hasso Plattner Award)

• · AI Pair Programming with GitHub Copilot

• · Tobi (our friendly & fun chatbot in the persona of a hard-working squirrel)

What you'll do

• As an AI Expert, you will be at the forefront of:
• · Identifying, designing, and implementing AI use cases from Proof of Concept to Production.
• · Developing AI/ML models to solve real life business problems (this includes Data Science exploration phase as well as model productization).
• · Overseeing the entire lifecycle of AI projects, including research, design, programming, testing, and maintenance.
• · Staying up-to-date with the latest AI trends and technologies and providing recommendations for applications.

What you bring

· Bachelor’s or master’s degree in computer science, engineering, or related technical fields

· 10 years of experience in designing, implementing, and maintaining AI models and algorithms.

Must have skills:

• · Deep knowledge of AI & Machine Learning concepts
• · Programming skills in one or more Machine Learning frameworks (e.g. Keras, scikit-learn, TensorFlow, PyTorch, LangChain, OpenAI, Hugging Face)
• · Programming skills in Python or Java
• · Distributed Computing Systems for Big Data engineering such as Databricks (PySpark/Scala)

Nice to have skills:

• · CI/CD and MLOps frameworks (e.g. Jenkins, GitHub Actions, MLFlow)
• · Docker & Kubernetes
• · Linux

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