Description

Principal ML Ops Engineer

Overview
The Enterprise Data & Analytics and Enterprise Data Platforms team is seeking a Principal ML Ops Engineer who will lead the design and operationalization of ML systems on AI/ML platforms such as AWS SageMaker and H2O.ai. This role focuses on building scalable ML systems rather than individual models and includes leadership responsibilities for mentoring and grooming talent in global capability centers (GCC) with potential onshore leadership opportunities. The position also requires hands-on experience with GenAI, including building intelligent agents and exposure to Agentic AI concepts.

Location
Candidates must be based in or willing to commute to one of the following hub locations with a hybrid schedule of four days onsite and one day remote per week with flexibility:
• Charlotte, NC (First choice)
• Westwood, MA – 200 Station Drive
• Iselin, NJ – 101 Wood Avenue South
• Boston, MA – 28 State Street
• Johnston, RI – One Citizens Bank Way 

Why This Role Matters
This is a strategic role at the intersection of ML Ops and Generative AI innovation. You will shape the future of enterprise AI by building robust ML systems that power advanced analytics and intelligent automation across the organization. Your leadership will influence engineering standards, accelerate AI adoption, and mentor the next generation of ML engineers. If you are passionate about operationalizing AI at scale and driving GenAI initiatives, this is an opportunity to make a significant impact.

Responsibilities

Lead and mentor engineering teams, including GCC talent development and potential onshore leadershipArchitect, design, and build ML engineering systems on the CFG ML Platform to accelerate ML pipeline deliveryDevelop and enhance platform capabilities and frameworks to standardize and automate ML pipeline deploymentImplement capabilities such as feature stores, feature tracking, feature serving (real-time and batch), model performance monitoring, model lineage tracking, model health, and model serving and consumption (real-time, batch, event-triggered, near real-time using Kafka)Define processes, research market trends, and implement best practices for ML pipeline development and deploymentCollaborate with business teams, data science teams, enterprise architects, and security to uphold ML engineering standardsDevelop CI/CD pipelines for continuous integration and delivery of ML modelsIdentify and automate ML pipeline and model deployment patterns to streamline workflowsTroubleshoot and resolve issues related to ML system performance and deploymentContribute to GenAI initiatives, including building intelligent agents and integrating them into ML Ops workflowsDemonstrate exposure to Agentic AI concepts and proof-of-concepts (POCs)

Requirements

7+ years of experience with Python for scripting ML workflows5+ years of experience deploying ML pipelines and systems using AWS SageMaker3+ years of experience developing APIs with Flask, Django, or FastAPI2+ years of experience with ML frameworks and tools such as scikit-learn, PyTorch, XGBoost, LightGBM, MLflowSolid understanding of the ML lifecycle: model development, training, validation, deployment, and monitoringSolid understanding of CI/CD pipelines for ML workflows using Bitbucket, Jenkins, NexusExperience with ETL processes for ML pipelines using Spark and KafkaPreferred experience with H2O.aiPreferred experience with containerization using Docker and orchestration using KubernetesRequired exposure to GenAI and Agentic AI concepts, including building or contributing to POCs

Education
Bachelor’s Degree or equivalent combination of education, training, and experience required

Work Schedule
Hours per Week: 40
Schedule: Monday–Friday

Pay Transparency

The salary range for this position is $175,000 - $ 230,000 per year  plus an opportunity to earn an annual discretionary bonus. Actual pay is based on various factors including but not limited to the work location, and relevant skills and experience.  

We offer competitive pay, comprehensive medical, dental and vision coverage, retirement benefits, maternity/paternity leave, flexible work arrangements, education reimbursement, wellness programs and more. Note, Citizens’ paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States. For an overview of our benefits, visit https://jobs.citizensbank.com/benefits.

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Some job boards have started using jobseeker-reported data to estimate salary ranges for roles. If you apply and qualify for this role, a recruiter will discuss accurate pay guidance.

Equal Employment Opportunity

Citizens, its parent, subsidiaries, and related companies (Citizens) provide equal employment and advancement opportunities to all colleagues and applicants for employment without regard to age, ancestry, color, citizenship, physical or mental disability, perceived disability or history or record of a disability, ethnicity, gender, gender identity or expression, genetic information, genetic characteristic, marital or domestic partner status, victim of domestic violence, family status/parenthood, medical condition, military or veteran status, national origin, pregnancy/childbirth/lactation, colleague’s or a dependent’s reproductive health decision making, race, religion, sex, sexual orientation, or any other category protected by federal, state and/or local laws. At Citizens, we are committed to fostering an inclusive culture that enables all colleagues to bring their best selves to work every day and everyone is expected to be treated with respect and professionalism. Employment decisions are based solely on merit, qualifications, performance and capability.