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
(ref:hirist.tech)
