9 hours ago
Bengaluru, IndiaSenior
Responsibilities
- Design and implement AI/ML pipelines, model workflows, orchestration systems, and large-scale 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 rigorous testing and evaluation.
- Lead discovery workshops and manage delivery quality through documentation, requirements monitoring, release evidence, and operational handover.
- Assess post-launch impact and improve, scale, or redesign solutions as needed.
- Collaborate with business stakeholders, architects, engineers, and operations partners to bring practical AI solutions into production.
Requirements
- Hands-on experience delivering complete, deployable AI and machine learning solutions into production.
- Strong programming skills in Python and SQL, including profiling, transforming, and validating enterprise data.
- 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 advantageous.
- Ability to structure ambiguous problems, make sound technical decisions, and explain technical trade-offs and data limitations clearly 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 for applicants with disabilities.
- Successful candidates might be required to undergo 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.