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Our AI Technical Team

Machine Learning and LLM Operations: Discover the future of scaling AI, machine learning, and large language models within the enterprise.

Our Expertise

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  • AI Models & Solutions: Custom AI models designed for various domains, data-driven decision making.

  • End-to-End AI Solutions: From design, development, and deployment to continuous monitoring and optimization.

  • Scalability & Flexibility: Tailored solutions for efficient model scaling and integration.

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This team is responsible for each implementation, working in collaboration with our AI development team partners worldwide.

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Project Management Office (PMO)

  • Project Manager (PM): Coordinates between teams and stakeholders.

  • PMO Support Team: Provides scheduling, documentation, and administrative support.

 

Design and Architecture Team

  • Solution Architect: Oversees AI solution design and architecture.

  • AI Architect: Designs AI models tailored to UAE and clients needs.

  • Data Architect: Manages data pipelines, storage solutions, and data governance.

 

UX/UI Design Team

  • UX/UI Designer: Creates intuitive, user-friendly interfaces for healthcare professionals.

 

DevOps Team (Integration/Testing/QA)

  • DevOps Engineer: Sets up CI/CD pipelines and manages deployment processes.

  • Integration Engineer: Ensures seamless integration across environments.

  • Testing and QA Engineers: Perform end-to-end testing and quality control.

  • Automation Engineer: Implements automated testing to enhance efficiency.

 

Environment Management and Support

  • Environment Manager (QA, Staging, Pre-Prod, Prod): Manages the lifecycle environments.

  • Systems Administrator: Manages cloud infrastructure and server environments.

  • Configuration Manager: Ensures environments remain consistent and compliant.

  • Technical Support Engineer: Provides on-demand support and quick resolutions.

 

Collaboration with Client Technical Teams

  • Client Liaison Officer: Acts as the primary point of contact for the client team.

  • Client Integration Specialist: Works closely with the UAE DevOps team for seamless integration.

  • Data Engineer (Client): Ensures data from Client systems is prepared for AI model training.

 

AI and Data Science Experts

  • Data Scientist/ML Engineer: Builds, trains, and optimizes machine learning models.

  • Senior Data Scientist: Leads complex algorithm implementations and ensures data integrity.

  • AI Research Scientist: Advances AI models with cutting-edge techniques.

  • AI/ML Solutions Engineer: Ensures scalability and real-time deployment of AI models.

 

Collaboration and Communication Tools

  • Azure (or cloud environments including Google Cloud, and AWS) DevOps: Manages tasks, bug tracking, and sprint planning.

  • Document Control and Knowledge Management: Maintains clear documentation for transparency.

 

Additional Key Roles

  • Business Intelligence (BI) Developer: Develops interactive reporting dashboards using Power BI and MicroStrategy.

  • Cloud Solutions Architect: Ensures scalable, secure, and cost-effective deployment using Azure.

  • Compliance and Security Officer: Ensures compliance with local and international data privacy laws and security standards (GDPR, UAE Data Protection Laws, Integration to Compass, etc.).

What Is Machine Learning Operations?

ML operations, or MLOps, are best practices for businesses to run AI successfully with help from an expanding ecosystem of software products and cloud services. 

Demystifying Enterprise MLOps

As more enterprises seek to transform with AI and ML, MLOps is an increasingly important field. Experts agree: you need an MLOps strategy to get ML into production. 

Understanding LLM Techniques: LLMOps

New, specialized fields such as GenAIOps and LLMOps have evolved from MLOps to manage generative AI and LLM-based applications in production.

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