AI Operations Specialist 2
AI Operations Specialist 2
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Job Description
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Job Summary
The AI Operations Specialist 2 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.
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.
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.
Collaborate with different teams to implement models and monitor outcomes. Provide updates to stakeholders on status of deployments and any risks and issues.
Keep up to date with the latest technology trends. Continuously improve models and techniques to adapt to new data patterns and trends.
Minimum Qualifications
Bachelors Degree in Computer Science Engineering or related field of study.
2 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
ServiceNow Platform
Azure Devops
MLflow
Apache Airflow
Application Programming Interface (API)
Docker (Software)
GitHub
Data Analysis
Microsoft Excel
Agile Environments
JIRA Tool
Reports To: Manager and above
Direct Reports: 0
Work Environment
Normal office environment (Hybrid) 6 to 8 days per month are required in the office.
Travel
Ability to travel up to 5% annually
Other Duties
This job description is illustrative of the types of duties typically performed by this job. It is not intended to be an exhaustive listing of each and every essential function of the job. Because job content may change from time to time the Company reserves the right to add and/or delete essential functions from this job at any time.
About Bread Financial
At Bread Financial youll have the opportunity to grow your career give back to your community and be part of our award-winning culture. Weve been consistently recognized as a best place to work nationally and in many markets and were proud to promote an environment where you feel appreciated accepted valued and fulfilledboth personally and professionally. Bread Financial supports the overall wellness of our associates with a diverse suite of benefits and offers boundless opportunities for career development and non-traditional career progression.
To learn more about Bread Financial our global associates and our sustainability commitments visit or follow us on Instagram and LinkedIn.
All job offers are contingent upon successful completion of credit and background checks.
Bread Financial is an Equal Opportunity Employer.
Job Family:
Data and AnalyticsJob Type:
RegularRequired Experience:
Unclear Seniority
Employment Type
Full-Time
