Sr. AI ML (GEN AI) - Agentic AI

Lead Full-cycle Development: Take charge of the complete lifecycle of machine learning models, overseeing conception, prototyping, deployment, and iterative optimization processes to enhance performance and scalability.

Architect Solutions: Utilize strong software design principles to build efficient and maintainable ML applications and services that adhere to best industry practices.

Collaborative Model Development: Partner with data scientists and stakeholders to address specific business challenges, thoroughly exploring available data for effective model training and evaluation.

Implement Data Pipelines: Design complex data processing workflows to ensure efficient feature extraction and model training phases are streamlined.

Champion MLOps Practices: Establish solid frameworks for MLOps, including model monitoring, Continuous Integration/Continuous Deployment (CI/CD) processes, and best practices for maintaining production models effectively.

Enhance Performance & Scalability: Diagnose and improve the efficiency of deployed models while preparing systems for increased transactional demands.

Mentor & Collaborate: Collaborate across diverse teams, nurturing a culture of knowledge-sharing and mentorship while advocating for innovative practices.

Stay Ahead of Trends: Keep abreast of the evolving landscape of machine learning and AI technologies, exploring, trialing, and incorporating transformative tools and methods.

Documentation & Reporting: Meticulously document processes, model specifications, and workflows to guarantee clear communication and knowledge retention across the team

Role & responsibilities

Preferred candidate profile