Brillio

Technology consulting for AI-driven digital transformation

Data Science Lead

Applied Machine LearningConfirmed live in the last 24 hours

Full-timeHyderabad, Telangana, IndiaNo salary listedHybrid

About the Job

Requirements

At least 7 to 10 years of experience in AI, advanced analytics, cloud platforms, and solution architecture, including demonstrated expertise translating business requirements into scalable, secure, production-ready AI solutions.
Knowledge of Microsoft Azure AI technologies, including Azure Foundry and Azure AI services.
Ability to design scalable, secure, and production-ready AI and analytics solutions.
Knowledge of Generative AI, machine learning, and advanced analytics architectures.
Experience with enterprise cloud platforms and data platform engineering.
Knowledge of API design, integration patterns, and modern AI solution architectures.
Knowledge of AI governance, security, responsible AI, and operationalization best practices.
Experience with MLOps and AI platform automation.

Responsibilities

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 using modern cloud and AI capabilities.
Design and implement AI solutions using 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 to improve business outcomes.
Provide architectural guidance to delivery teams and stakeholders to ensure AI investments align with enterprise priorities.

Desired Qualifications

Experience leading enterprise AI transformation and platform modernization initiatives.
Knowledge of GenAI patterns, including LLM applications, Retrieval-Augmented Generation (RAG), agents, prompt engineering, and AI orchestration.
Experience building reusable AI platforms and accelerators for enterprise-scale adoption.
Knowledge of LLMOps, AI observability, and model lifecycle management.
Ability to connect 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.

Architect

Job requirements

Experience Range: With at least 7 to 10 years of experience in AI, advanced analytics, cloud platforms, and solution architecture, including demonstrated expertise in translating business requirements into scalable, secure, production-ready AI solutions Key Responsibilities:

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

Required Skills:

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

Preferred Skills:

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

Desired Qualifications:

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

About the Company

Brillio

Technology consulting for AI-driven digital transformation

Brillio helps organizations move their systems and processes into the digital world by providing technology consulting and customized AI and cloud-based solutions. The company works with large clients, including many Fortune 500 firms, and has a strong emphasis on the healthcare sector. Its offerings include designing and building tailored software and workflows that improve efficiency, security, and scalability, and enabling real-time, AI-powered interactions through generative AI tools. Customers typically engage Brillio through long-term support contracts or project-based work, paying for both advisory services and the implementation of technology solutions. Brillio’s goal is to help clients become ‘generative enterprises’—organizations that leverage AI and cloud technologies to continuously transform operations and user experiences, stay competitive, and drive measurable business outcomes.

Company size: 5,001-10,000
Company stage: Late Stage VC
Total funding: Not listed
Headquarters: Dallas, TX
Founded: 2014

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