AI Native Engineering - SAP

Your key responsibilities  

• Assist in the collection and documentation of users’ requirements, development of user stories, estimates and work plans 
• Ensure modern AI/Gen AI best practices are applied 
• Develop, validate and deploy AI models.
• Establish and maintain development standards/best practices 
• Analyze the ML algorithms that could be used to solve a given problem and ranking them by their success probability.
• Share the knowledge on the best ML Engineering practices with the team

Skills and attributes for success  

• 4+ years of experience in AI development.
• Strong programming skills, with expertise in languages like Python with a good knowledge of ML, Data and API libraries.
• Expertise in creating end-to-end data pipelines (sourcing, exploration, automation, etc.)
• Experience with AI model and its development.
• Should have knowledge in ModelOps/MLOps, AutoML, AI Ethics, Trust and Explainable AI
• Understanding of some of the popular ML frameworks such as SparkML, Tensorflow, scikit-learn, XGBoost, H2o etc.
• Experience working in a cloud environment (SAP, AWS, Azure, GCP) or a containerized environment (Mesos, Kubernetes)
• Experience in Agentic AI developments frameworks , protocols and Agent to agent interoperability.
• Interest in understanding functional and industry business challenges.