Senior Machine Learning Engineer (8+)
sap | 23 days ago | Bangalore

WHAT YOU'LL BUILD:

In your role as Senior Machine Learning Engineer for the SAP Experience Garage, you’ll design, prototype, and scale AI-powered solutions that help SAP teams and customers transform real business challenges into measurable outcomes.

  • You’ll be responsible for setting up and leading technical data and AI challenges, collaborating with partners like Databricks, Microsoft, and SAP BTP teams to accelerate innovation.
  • Your work will directly impact how AI is adopted and democratized across SAP, empowering teams to move from exploration to production with speed and confidence.
  • You’ll co-design and run hackathons and incubation programs, shaping the technical backbone that enables teams to test, validate, and iterate on their ideas.
  • You’ll prototype intelligent agents, recommender systems, and data-driven apps, contributing to SAP Experience Garage showcases and innovation stories that inspire adoption company-wide.
  • You’ll establish frameworks to track and measure success, connecting AI experiments to tangible business value and customer experience improvements.
  • You’ll evaluate and prioritize high-impact AI opportunities, guiding cross-functional teams on feasibility, scalability, and ethical use of AI within SAP’s ecosystem

 

WHAT YOU BRING:

  • 8 - 12 year of relevant experience
  • Strong hands-on experience in machine learning, AI engineering, or data science, with proven ability to translate complex concepts into working prototypes.
  • Deep familiarity with cloud-based data platforms (e.g., Databricks, Azure, SAP BTP, or similar), and comfort working across distributed data and compute environments.
  • Skilled in Python, ML frameworks (TensorFlow, PyTorch, Scikit-learn), and modern MLOps or LLMOps practices for scalable experimentation and deployment.
  • Experience facilitating hackathons, data challenges, or innovation sprints, combining technical rigor with creativity and collaboration.
  • Growth mindset with a curiosity to experiment, learn fast, and help others do the same – balancing innovation speed with data and model integrity.
  • Strong communication and storytelling skills to translate technical progress into business impact, fostering trust and excitement among non-technical stakeholders.
  • A passion for building together – thriving in multidisciplinary environments where design, engineering, and business strategy intersect
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