Citi · 18 hours ago
ML Operations Engineer - Associate Vice President
Irving Texas United States
Full-time
Hybrid
Mid Level
$107K/yr - $161K/yr
3+ years expCiti is seeking an experienced MLOps Engineer to join their DevOps and Infrastructure Engineering team. This role is crucial for operationalizing, scaling, and maintaining AI and ML applications, ensuring seamless deployment and management of models.
BankingFinanceFinancial Services
Responsibilities
Design, build, and maintain robust and scalable end-to-end ML pipelines for data ingestion, preprocessing, model training, validation, and deployment
Implement and manage Continuous Integration/Continuous Delivery (CI/CD) pipelines specifically tailored for machine learning workflows, ensuring automated testing, versioning, and deployment of ML artifacts
Utilize MLflow extensively for experiment tracking, reproducible runs, managing model versions, and maintaining a centralized model registry
Leverage Ray Tune for efficient and distributed hyperparameter optimization to enhance model performance and accelerate experimentation
Package ML models and their dependencies using Docker and deploy/manage them effectively on Kubernetes clusters
Integrate with and optimize existing data platforms, including Apache Iceberg, Apache Spark, and FLINK, to ensure efficient data processing and feature engineering for ML models
Work with PostgreSQL, Oracle, and MongoDB for diverse data storage needs, and utilize Kafka for real-time data streaming to support various ML applications
Implement comprehensive monitoring, logging, and alerting solutions (e.g., Prometheus, Grafana) for ML models in production, tracking model performance, data drift, and infrastructure health to ensure reliability and facilitate automated retraining or rollback
Develop automation scripts and tools using Python and Bash/Go to streamline MLOps processes and integrate various systems
Act as a vital link between data scientists, ML engineers, and infrastructure teams, facilitating clear communication and ensuring that ML solutions are production-ready
Qualification
Required
3-5 years of hands-on experience in an MLOps, DevOps, or Machine Learning Engineering role, with a proven track record of deploying and managing ML models in production environments
Expert-level proficiency in Python for ML development, scripting, and automation
Demonstrated hands-on experience with Ray Tune for hyperparameter optimization and AirFlow or MLflow for experiment tracking and model management
Strong experience with Docker and Kubernetes (including Helm)
Experience implementing CI/CD practices for software and/or ML pipelines
Familiarity with or experience with Apache Spark, Apache Iceberg, FLINK, and Kafka
Experience with PostgreSQL, Oracle, and MongoDB
Experience with Apache Airflow
Experience with HashiCorp (Terraform)
Proficiency in Linux/Unix environments
Preferred
Experience with cloud platforms (AWS, Azure, GCP) and managing cloud-native ML infrastructure
Knowledge of deep learning frameworks such as TensorFlow or PyTorch
Experience with generative AI technologies (e.g., LLMs, prompt engineering, RAG pipelines)
Understanding of distributed computing and big data processing techniques
Benefits
Medical, dental & vision coverage
401(k)
Life, accident, and disability insurance
Wellness programs
Paid time off packages, including planned time off (vacation), unplanned time off (sick leave), and paid holidays
Company
Citi
Citi's mission is to serve as a trusted partner to our clients by responsibly providing financial services that enable growth and economic progress.
10001+ employees
H1B Sponsorship
Citi 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)
Distribution of Different Job Fields Receiving Sponsorship
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Trends of Total Sponsorships
2025 (1386)
2024 (849)
2023 (1375)
2022 (1117)
2021 (876)
2020 (901)
Funding
Current Stage
Late StageLeadership Team
James Monahan
Managing Director / Global Head of Asset Servicing
Naveed Sultan
Managing Director, Chairman, Institutional Clients Group
Recent News
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