Technical Lead & Architect - Generative AI

Key Skills: Generative AI, LLMOps, NLP frameworks, Software architecture & design (HLD/LLD)C#, .NET, Python, Angular, Azure Cloud (App Service, AKS, Cosmos DB, Cognitive Datalake, Azure SQL), Microservices, REST API design, CI/CD pipelines, Model monitoring & management in production

Roles and Responsibilities:

• Provide technical leadership, set coding standards, and architectural guidelines.
• Architect and Design (HLD & LLD) complex software systems involving AI/ML use cases, MLOps around C#, .NET / Python, and Angular.
• Create the WBS for the feature that needs to be incorporated.
• Ensure that the team follows cybersecurity best practices and provide continuous guidance to improve the coding practices
• Ensure the team follows best practices in coding, testing, and debugging.
• Conduct code reviews to maintain code quality and adherence to standards.
• Implement and enforce automated testing and continuous integration practices.
• Identify and address performance bottlenecks in software systems.
• Create and maintain technical documentation, including architecture diagrams and design documents.
• Collaborate with team to plan for product roadmap, demonstrate MVPs and work with product management team on planning and prioritization of features

Skills Required:

• Overall 10+ Yrs in a technical leadership, working with software engineering teams & & 5+ years of expertise knowledge of LLMOps principles, NLP frameworks and architecture of systems
• Deep understanding of different model types, management and monitoring of large number of AIML models on a production environment
• Experience in model monitoring concepts for different types of language models
• Experience with Azure cloud computing services, such as Azure App Service, Azure Cosmos, Azure Kubernetes Service (AKS), Cognitive Datalake, Azure SQL Server
• Strong knowledge of data structures and algorithms
• Experience with designing & developing scalable, microservices-based systems with asynchronous programming and design patterns
• Expertise in working in CI/CD pipelines for automated build, test, deployment processes.
• Ability to design and implement complex, scalable, and secure web & Rest API ap-plications
• Understanding of Industrial IoT protocols and standards, such as MQTT, OPC UA.
• Experience in mentoring team members and helping them grow professionally. Excellent documentation skills and the ability to communicate complex concepts

Education: Bachelor or Master degree in Computer Science, Engineering, or a related technical field.