Overview
Remote
On Site
USD 96,960.00 - 145,440.00 per year
Full Time
Skills
Artificial Intelligence
Evaluation
Dashboard
Collaboration
Data Science
Computer Science
DevOps
Machine Learning Operations (ML Ops)
Machine Learning (ML)
Workflow
Cloud Computing
Management
Continuous Integration
Continuous Delivery
Docker
SQL
PostgreSQL
MySQL
Amazon Web Services
Amazon S3
Data Management
Python
Scripting
Attention To Detail
Conflict Resolution
Problem Solving
Plotly
Demonstrations
Product Demonstration
Reporting
Job Details
We are seeking a skilled and experienced DevOps/MLOps Engineer to join our AI & Data Science Platform team. In this role, you will be responsible for building, managing, and scaling the infrastructure that supports our machine learning workflows and cloud-based applications. You will work closely with Data Scientists and Engineers to ensure the reliability, efficiency, and security of our AI/ML pipelines and deployments. This role offers a hybrid work schedule.
Roles and Responsibilities:
Qualifications:
Preferred Experience:
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Join us to work on innovative projects in the banking domain and grow your career with cutting-edge technologies!
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
$96,960.00 - $145,440.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Aug 29, 2025
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.
Roles and Responsibilities:
- Build and manage ECS clusters for production and experimental AI/ML environments.
- Design, implement, and maintain CI/CD pipelines using tools such as LightSpeed, OpenShift, and Harness.
- Containerize ML models and applications using Docker.
- Support LLM-based validation pipelines, including setting up infrastructure for evaluation jobs and integrating results into monitoring dashboards.
- Manage AWS S3 for datasets, model artifacts, and pipeline outputs, ensuring secure and efficient data access.
- Collaborate with Data Science and Engineering teams to align infrastructure with experimental and production needs.
- Proactively troubleshoot, performance tune, and scale systems.
Qualifications:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 3+ years of experience in DevOps, MLOps, or Platform Engineering, supporting machine learning workflows and deploying cloud-based applications.
- Proven experience in building and managing ECS clusters.
- Strong understanding of CI/CD processes and tools (e.g., LightSpeed, OpenShift, Harness).
- Proficiency in Docker for containerization.
- Working knowledge of SQL (e.g., PostgreSQL, MySQL).
- Experience with AWS S3 for data management.
- Solid Python skills for automation and scripting.
- Strong attention to detail and a proactive approach to problem-solving.
Preferred Experience:
- Experience supporting LLM-based validation pipelines.
- Familiarity with Streamlit and Plotly for deploying demo applications or internal validation reporting tools.
---
Join us to work on innovative projects in the banking domain and grow your career with cutting-edge technologies!
Job Family Group:
Technology
Job Family:
Applications Development
Time Type:
Full time
Primary Location:
Tampa Florida United States
Primary Location Full Time Salary Range:
$96,960.00 - $145,440.00
In addition to salary, Citi's offerings may also include, for eligible employees, discretionary and formulaic incentive and retention awards. Citi offers competitive employee benefits, including: medical, dental & vision coverage; 401(k); life, accident, and disability insurance; and wellness programs. Citi also offers paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays. For additional information regarding Citi employee benefits, please visit citibenefits.com. Available offerings may vary by jurisdiction, job level, and date of hire.
Most Relevant Skills
Please see the requirements listed above.
Other Relevant Skills
For complementary skills, please see above and/or contact the recruiter.
Anticipated Posting Close Date:
Aug 29, 2025
Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law.
If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi.
View Citi's EEO Policy Statement and the Know Your Rights poster.
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.