Data Science Lead – R01572475
- Category
- AI & Data Engineering
- Required Skills
- See official employer job description
- Experience
- Lead
- Openings
- 1
- Apply by
- November 28, 2026
Know the opportunity before you apply.
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- Numeric salary range: Not disclosed — confirm before proceeding
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Check my fit & prepare →Job requirements
- Architect and deliver enterprise AI platforms and advanced analytics solutions that align with business objectives and drive measurable outcomes
- Translate complex business use cases into scalable AI, analytics, and technology architectures leveraging modern cloud and AI capabilities
- Design and implement AI solutions utilizing Azure Foundry, Azure AI services, and cloud-native technologies to ensure scalability, security, and production readiness
- Define architecture patterns and frameworks for Generative AI, machine learning, advanced analytics, and intelligent applications
- Collaborate with business, data, engineering, and platform teams to drive AI initiatives from ideation through implementation
- Establish standards and best practices for AI platform engineering, integration, governance, security, and operationalization
- Evaluate emerging AI platform capabilities and technologies to identify opportunities for improving business outcomes
- Provide architectural guidance to delivery teams and stakeholders to ensure AI investments are aligned with enterprise priorities
- Microsoft Azure AI technologies, including Azure Foundry and Azure AI services
- Designing scalable, secure, and production-ready AI and analytics solutions
- Generative AI, machine learning, and advanced analytics architectures
- Enterprise cloud platforms and data platform engineering
- API design, integration patterns, and modern AI solution architectures
- AI governance, security, responsible AI, and operationalization best practices
- MLOps and AI platform automation
- Leading enterprise AI transformation and platform modernization initiatives
- GenAI patterns, including LLM applications, Retrieval-Augmented Generation (RAG), agents, prompt engineering, and AI orchestration
- Building reusable AI platforms and accelerators for enterprise-scale adoption
- LLMOps, AI observability, and model lifecycle management
- Connecting AI platform capabilities to measurable business outcomes
- Bachelor’s degree in Computer Science, Information Technology, Data Science, or a closely related discipline
- Microsoft Certified: Azure Solutions Architect Expert
- Microsoft Certified: Azure AI Engineer Associate
Responsibilities
• Lead end-to-end execution of projects and cross-functional deliverables for Data Science Lead - R01572475.
• Collaborate closely with departmental peers and stakeholders to ensure seamless operational continuity.
• Monitor core performance KPIs, troubleshoot bottlenecks, and implement optimization protocols.
• Champion high quality standards, peer reviews, and comprehensive team documentation.
Candidate Skill Fit Analysis
Sign in to check profile matchRequired competencies and technical background for this position:
Estimated In-Hand Salary
New Tax Regime (AY 2026–27)Editable what-if calculation; when employer pay is not disclosed, the starting amount is an example, not a salary offer. Indicative estimate using standard assumptions for EPF, professional tax and Section 87A. Actual payroll, benefits and deductions vary by employer and individual.
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