Description : About the Role :
The AI Engineering Manager will play a pivotal role in bridging the gap of building a scalable, compliant, and cost-efficient AI / ML platform.
This platform will integrate Large Language Models (LLMs) into doolas product and internal tools.
As a priority, the role focuses on enhancing customer experience, improving efficiency, and ensuring governance as the company scales its Generative AI (GenAI) initiatives.
Key Responsibilities :
- Own and drive the AI roadmap to align with business objectives.
- Build scalable machine learning and data infrastructure.
- Deploy domain-adapted LLMs into production environments.
- Ensure the AI platform is reliable, cost-optimized, and compliant.
- Collaborate with cross-functional teams to power customer-facing features and internal efficiencies.
Qualifications & Skills Required :
6 to 10 years of experience in AI and machine learning engineering.Proficiency in Python and machine learning techniques.Experience with Generative AI and Large Language Models (LLMs).Strong understanding of building scalable AI / ML platforms.Proven track record of deploying machine learning models in production(ref : hirist.tech)