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Citizens · 2 months ago

Principal ML Ops Engineer

4250 Congress St., Charlotte, NC, 28209, US

Full-time

Hybrid

Senior Level, Lead/Staff

$175K/yr - $230K/yr

7+ years exp

Citizens is seeking a Principal ML Ops Engineer to lead the design and operationalization of ML systems on AI/ML platforms. This strategic role focuses on building scalable ML systems and includes mentoring responsibilities for developing talent in global capability centers.

BankingCredit CardsFinancial ServicesFinTechRetail

H1B Sponsor Likely

Responsibilities

Lead and mentor engineering teams, including GCC talent development and potential onshore leadership

Architect, design, and build ML engineering systems on the CFG ML Platform to accelerate ML pipeline delivery

Develop and enhance platform capabilities and frameworks to standardize and automate ML pipeline deployment

Implement 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 deployment

Collaborate with business teams, data science teams, enterprise architects, and security to uphold ML engineering standards

Develop CI/CD pipelines for continuous integration and delivery of ML models

Identify and automate ML pipeline and model deployment patterns to streamline workflows

Troubleshoot and resolve issues related to ML system performance and deployment

Contribute to GenAI initiatives, including building intelligent agents and integrating them into ML Ops workflows

Demonstrate exposure to Agentic AI concepts and proof-of-concepts (POCs)

Qualification

PythonAWS SageMakerML pipeline deploymentFlaskScikit-learnCI/CD pipelinesETL processesH2O.aiDockerKubernetesGenAI exposureAgentic AI concepts

Required

7+ years of experience with Python for scripting ML workflows

5+ years of experience deploying ML pipelines and systems using AWS SageMaker

3+ years of experience developing APIs with Flask, Django, or FastAPI

2+ years of experience with ML frameworks and tools such as scikit-learn, PyTorch, XGBoost, LightGBM, MLflow

Solid understanding of the ML lifecycle: model development, training, validation, deployment, and monitoring

Solid understanding of CI/CD pipelines for ML workflows using Bitbucket, Jenkins, Nexus

Experience with ETL processes for ML pipelines using Spark and Kafka

Required exposure to GenAI and Agentic AI concepts, including building or contributing to POCs

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

Preferred

Preferred experience with H2O.ai

Preferred experience with containerization using Docker and orchestration using Kubernetes

Benefits

Competitive pay

Comprehensive medical, dental and vision coverage

Retirement benefits

Maternity/paternity leave

Flexible work arrangements

Education reimbursement

Wellness programs

Paid time off policy exceeds the mandatory, paid sick or paid time-away policy of very local and state jurisdiction in the United States

Company

Citizens

Glassdoor3.6

At Citizens, we recognize that the journey to accomplishment is no longer linear and that individuals are made of all they have done and all they are going to do.

Founded in 1828

Providence, Rhode Island, USA

10001+ employees

https://www.citizensbank.com/

H1B Sponsorship

Citizens has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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2020 (1)