BENGALURU · FULLTIME
Sr Associate - Artificial Intelligence Operations (IND)
Bread Financial
Bengaluru · onsite · Posted 41d ago
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Undisclosed2–3 yrsfulltimeBengaluru
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Section · 01
About this role
Job Summary
Essential Job Functions
Minimum Qualifications
Preferred Qualifications
Skills
Reports To
Direct Reports
Work Environment
Travel
Job Family
Job Type
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.
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 environment, 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.
Sourced from naukri
Section · 02
Skills
Azure DevopsAgileCI/CD Pipelinesbusiness processApacheamazon web servicesapache airflowAnalyticsapplication programming interfaceAi SolutionsMicrosoft AzureArtificial Intelligence
Section · Company
About Bread Financial
Bread Financial
FinTech
900
employees
1996
30 years old
Bengaluru/Bangalore, Karnataka
India
About
Bread Financial offers personalized financial services with digital solutions for payments, lending, and savings, enhancing customer access and flexibility.
Industries
BankingAuto Components
Employee ratings
236 reviews
3.8/ 5
Culture
3.8
Career growth
3.3
Work-life
3.9
Employees rate it well for
Work Life Balance33Senior Management25Salary24Work Culture21Work Environment14
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