Description :

Work on the Implementation and Solution delivery of the AI applications leading the team across onshore/offshore and should be able to cross-collaborate across all the AI streams.

- Design end-to-end AI applications, ensuring integration across multiple commercial and open source tools.

- Work closely with business analysts and domain experts to translate business objectives into technical requirements and AI-driven solutions and applications.

- Partner with product management to design agile project roadmaps, aligning technical strategy. Work along with data engineering teams to ensure smooth data flows, quality, and governance across data sources.

- Lead the design and implementations of reference architectures, roadmaps, and best practices for AI applications.

- Fast adaptability with the emerging technologies and methodologies, recommending proven innovations.

- Identify and define system components such as data ingestion pipelines, model training environments, continuous integration/continuous deployment (CI/CD) frameworks, and monitoring systems.

- Utilize containerization (Docker, Kubernetes) and cloud services to streamline the deployment and scaling of AI systems. Implement robust versioning, rollback, and monitoring mechanisms that ensure system stability, reliability, and performance.

- Ensure the implementation supports scalability, reliability, maintainability, and security best practices.

- Have Quality by Desgin mindset and approach

- Expertise on C# or Python

- Expertise in ML and understanding, fine tuning LLMs/SLMs

Qualifications :

- Bachelors/Masters degree in Computer Science

- Certifications in Cloud technologies Azure

- Hands on knowledge of Fabric