Job Summary

The Senior Associate AI Operations is responsible for designing and implementing productionized Artificial Intelligence (AI) solutions to solve business problems. This role works closely with our data science teams and other stakeholders to enable the integration of AI/ML models into business processes. These solutions need to be scalable, resilient, and secure. This role also maintains CI/CD pipelines, productionizes models (ML/DL/LLM), and develops integration code needed to deploy AI solutions.

Essential Job Functions

- 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
- AWS
- AWS Elastic Kubernetes Service (EKS)
- Docker (Software)
- Generative AI
- Azure Devops
- MLflow
- Apache Airflow
- Application Programming Interface (API)
- GitHub
- Agile Environments
- JIRA Tool

Reports To

Manager and above

Direct Reports

0

Work Environment

- Normal office workplace, hybrid.

Travel

- Ability to travel up to 5% annually

Job Family

Data and Analytics

Job Type

Regular

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.

📌 Sr Associate - Artificial Intelligence Operations (IND) (Bengaluru)
🏢 Bread Financial
📍 Bengaluru