2 days ago
Bengaluru, IndiaSenior
Responsibilities
- Manage and develop engineering talent, set clear goals, and support delivery of secure, scalable cloud services.
- Design and implement AI pipelines, model workflows, orchestration systems, and integration components.
- Explore, profile, clean, transform, and validate enterprise data to improve model quality and reduce delivery risk.
- Define success metrics with product owners, engineers, and business stakeholders, then execute testing and evaluation approaches.
- Lead discovery workshops, documentation, requirements monitoring, release evidence, operational handovers, and post-launch impact assessments.
- Drive automation, reliability, scaling, operational improvements, or redesigns for deployed AI solutions.
Requirements
- Over 5+ years of hands-on engineering experience delivering AI and machine learning solutions into production.
- Strong Python and SQL programming skills, including enterprise data profiling, transformation, and validation.
- Experience taking AI or ML solutions through data validation, prototyping, testing, deployment, and operational support.
- Understanding of machine learning methods, statistical analysis, model evaluation, and modern AI application patterns.
- Experience with AI applications, intelligent workflows, copilots, or agent-based solutions is preferred.
- Ability to structure ambiguous problems, make technical decisions under uncertainty, and communicate technical trade-offs and data limitations to non-technical stakeholders and governance partners.
Benefits
- Flexible working models and a culture focused on inclusion, health, and well-being.
- Accessibility accommodations are available during the application process.
- Successful candidates may be required to complete background verification with an external vendor.
Categories
About SAP
SAP builds enterprise application software and cloud services for finance, procurement, supply chain, human resources, and analytics, sold through subscriptions, licenses, and support. Its portfolio includes SAP S/4HANA, SAP Business Technology Platform, SAP Ariba, and SAP SuccessFactors. Founded in 1972 and headquartered in Walldorf, Germany, SAP is a public company listed on the NYSE and Frankfurt (ETR) and serves enterprises and public-sector organizations worldwide.