2 months ago
Base Salary
$142k - $213k/yr
Responsibilities
- Own the architecture, construction, maintenance, and operational lifecycle of scalable ML systems and backend services.
- Lead the development and deployment of analytical frameworks, ML pipelines, and data science solutions for enterprise applications.
- Direct end-to-end ML initiatives from requirements gathering and project scoping through implementation, deployment, and operational support.
- Provide formal and informal technical leadership, mentor emerging talent, and promote scalable and resilient engineering practices.
- Collaborate with data scientists, front-end engineers, business leaders, and cross-functional stakeholders to align technical and strategic objectives.
- Assess complex risks, ensure quality and data integrity, and maintain compliance with applicable laws, regulations, and corporate policies.
Requirements
- 7+ years of professional experience implementing data-intensive, large-scale ML solutions with technical leadership experience.
- Expert-level Python and Jupyter Notebook scripting experience.
- Experience with machine learning frameworks and libraries including Scikit-learn, Keras, TensorFlow, PyTorch, RAGAs, DsPy, and large language models.
- Experience with MLOps and ML lifecycle platforms including MLFlow, Dagster, and Google Cloud Vertex AI.
- Experience with relational and NoSQL databases including Oracle, MySQL, PostgreSQL, and MongoDB.
- Experience with infrastructure, DevOps, version control, containerization, and orchestration tools including UDeploy, Harness, Tekton, Jenkins, Maven, Git, Docker, OpenShift, and Amazon ECS.
- Experience with data engineering and processing technologies including Kafka, Sqoop, PySpark, Hive, Hadoop, HDFS, Avro, Parquet, and Iceberg.
- Experience with FastAPI, Flask, and NGINX.
- Bachelor’s or master’s degree in a technology-related discipline such as Computer Science or Computer Engineering, or equivalent professional experience.
- Strong communication, diplomacy, stakeholder engagement, leadership, continuous learning, and business orientation.
Benefits
- Full-time position based in Jersey City, New Jersey.
- Base salary range of $142,320.00–$213,480.00, with potential discretionary and formulaic incentive and retention awards.
- Medical, dental, and vision coverage; 401(k); life, accident, and disability insurance; and wellness programs.
- Paid vacation, sick leave, and holidays.
Tech Stack
Apache HadoopApache HiveApache KafkaDockerFastAPIFlaskGitHarnessJenkinsJupyter NotebookKerasMavenMLflowMongoDBMySQLOpenShiftPostgreSQLPythonPyTorchscikit-learnTektonTensorFlow
Categories
About Citi
Citi is a public financial-services company offering consumer and institutional banking, credit cards, wealth management, treasury and trade solutions, and capital-markets services. It serves individuals, corporations, financial institutions, and governments in more than 160 countries and jurisdictions, earning interest and fee income from lending, payments, trading, and advisory. Founded in 1812 and headquartered in New York, it trades on the NYSE under the ticker C.