Data Science Expert (Exp 8 - 16Y) (Bangalore, IN, 560066)

SAP
Bengaluru
Workplace: HybridFull timeFunction: Data Science & Machine LearningExperience: 8-16 yearsSkills: ["Thought leadership","Mentoring","Communication","Decision-making influence","Technical leadership"]

Lead the design, strategy, and deployment of advanced AI and machine learning solutions for enterprise use cases. Define enterprise AI/ML direction, architect large-scale ML/DL systems, and build end-to-end data ecosystems spanning pipelines, feature stores, and model lifecycle management. Drive innovation with generative AI, LLMs, and scalable multi-agent frameworks using A2A and MCP, while ensuring reliability, explainability, fairness, governance, and AI security. Mentor senior engineers and influence executive decision-making.

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FursaFursa
SAP
SAP
2 hours ago

Data Science Expert (Exp 8 - 16Y) (Bangalore, IN, 560066)

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Last checked: 2 hours agoStatus: Live

Job Summary

Lead the design, strategy, and deployment of advanced AI and machine learning solutions for enterprise use cases. Define enterprise AI/ML direction, architect large-scale ML/DL systems, and build end-to-end data ecosystems spanning pipelines, feature stores, and model lifecycle management. Drive innovation with generative AI, LLMs, and scalable multi-agent frameworks using A2A and MCP, while ensuring reliability, explainability, fairness, governance, and AI security. Mentor senior engineers and influence executive decision-making.
Location: Bengaluru
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Science & Machine Learning
Seniority: Mid level

Key Responsibilities

  • •Define and drive enterprise AI/ML strategy, aligning analytics initiatives with business objectives and long-term vision.
  • •Architect and oversee complex, large-scale ML/DL systems and translate business challenges into production-ready data science solutions.
  • •Lead development of end-to-end data ecosystems, including data pipelines, feature stores, and model lifecycle management.
  • •Design and build scalable multi-agent frameworks and orchestration using A2A and MCP, including generative AI and LLM-based approaches.
  • •Ensure reliability, explainability, fairness, governance, and AI security guardrails for agentic/LLM systems; champion MLOps and mentoring.
Travel: Low travel

Key Requirements

  • •Deep, expert-level knowledge in AI and data science, including NLP, computer vision, or generative AI.
  • •Experience designing and deploying large-scale ML systems in production environments.
  • •Hands-on proficiency with Python, SQL, and distributed data processing technologies such as Databricks and Spark.
  • •Proven ability to architect scalable multi-agent AI systems, including agent interoperability protocols like A2A (Agent-to-Agent) and MCP (Model Context Protocol).
  • •Experience with enterprise data platforms and databases such as SAP HANA, SQL Server, or Oracle.
Experience:8-16 yearsAIMachine learningGenerative AI
Skills:Thought leadershipMentoringCommunicationDecision-making influenceTechnical leadership
Tech Stack:PythonSQLDatabricksSparkSAP HANASQL ServerOracleSAP BTPMachine learningDeep learningNLPComputer visionGenerative AILLMsMLOpsFeature storesA2AMCP

Company Brief

SAP
Global enterprise software company best known for ERP systems and business applications covering finance, supply chain, procurement, HR, analytics, and customer management for large organizations.
Industry: Enterprise Software
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Walldorf, Germany
Founded: 1972
Glassdoor
Glassdoor: 4.1
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