Senior Associate - Artificial Intelligence Operations (IND)

Bread Financial; Bengaluru; Hybrid; INR 1,200,000 - 1,800,000; Full time

Job summary

Bread Financial in Bengaluru is seeking a Senior Associate AI Operations to design and productionize AI/ML solutions, ensuring scalable, secure deployments and CI/CD pipelines. You will collaborate with data science teams, DevOps, and business stakeholders to operationalize models and monitor performance.

Ideal candidates have 2–3 years in AI operations or related fields, with a focus on retail financial services, and will work in a hybrid Bangalore office setting.

Qualifications

• Degree in CS/Engineering or related field required.
• 2–3 years in AI operations, ML engineering, data science, or DevOps with agile methods.

Responsibilities

• Design and implement scalable, productionized ML/LLM solutions.
• Monitor deployed models and optimize configurations.
• Create release pipelines for CI/CD and automate deployments.
• Collaborate with teams to deploy models and report risks.
• Stay updated with new AI/ML trends and techniques.

Skills

DevOps

AWS

EKS

Docker

Generative AI

Azure Devops

MLflow

Apache Airflow

API

GitHub

Agile Environments

JIRA Tool

Education

Bachelors Degree in Computer Science, Engineering, or related field of study

Tools

AWS

EKS

Docker

MLflow

Apache Airflow

GitHub

JIRA

Job description

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%)

Experience Range : -

Minimum Qualifications

• Bachelors 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 / Keywords

: -

• DevOps


• Amazon Web Services (AWS)


• AWS Elastic Kubernetes Service (EKS)


• Docker (Software)


• Generative AI


• Azure Devops


• MLflow


• Apache Airflow


• Application Programming Interface (API)


• GitHub


• Agile Environments


• JIRA Tool


• Any additional preferences : - None


• Location : -Bangalore office, hybrid model