Senior Associate - Artificial Intelligence Operations (IND)

Design and implement productionized model (ML/DL/LLM) solutions that are scalable, resilient, and secure. Evaluate and optimize data science methodology needs while meeting the non-functional requirements of the business process. - (50%)

Monitor and maintain the performance of deployed models. Monitor production performance and provide recommendations for maximizing ML/LLM configurations and performance. Support tool and platform administrators in maintaining the health and functionality of the ecosystem. - (20%)

Create and manage release pipelines for data science teams that facilitate Continuous Integration (CI), and Continuous Deployment (CD). Automate build and deployment procedures to streamline delivery. Schedule and validate all production deployments. Partner with Release Management, Infrastructure, DevOps, etc. to ensure a smooth and successful deployment. - (10%)

Collaborate with different teams to implement models and monitor outcomes. Provide updates to stakeholders on status of deployments and any risks and issues. - (10%)

Keep up to date with the latest technology trends. Continuously improve models and techniques to adapt to new data patterns and trends. - (10%)

Minimum Qualifications

Bachelor’s Degree in Computer Science, Engineering, or related field of study.

2-3 years experience in AI Operations, Machine Learning Engineering, Data Science, Data Engineering, DevOps, Analytics, or related fields, with a focus in retail financial services or information technology fields utilizing agile methodologies.

Preferred Qualifications

5+ years of experience in AI Operations, Machine Learning Engineering, Data Science, Data Engineering, DevOps, Analytics, or related fields.

Skills

DevOps

Amazon Web Services (AWS)

AWS Elastic Kubernetes Service (EKS)

Docker (Software)

Generative AI