Base Salary
$139k - $164k/yr
Responsibilities
- Evaluate emerging machine learning technologies, platforms, frameworks, and tooling for enterprise adoption.
- Assess Azure Machine Learning, AWS SageMaker, Databricks, Snowflake ML, and open-source ML frameworks.
- Define scalable end-to-end machine learning lifecycle architectures covering data ingestion, feature engineering, training, deployment, monitoring, and governance.
- Establish reusable patterns for MLOps, model serving, feature stores, automated retraining, monitoring, and observability.
- Design production-ready ML solutions and provide technical guidance to engineering and data science teams through implementation.
- Evaluate vendor platforms for enterprise fit, viability, and business value.
- Partner with data scientists and engineering teams to operationalize models at scale.
- Establish standards for model governance, explainability, observability, and responsible AI.
- Translate complex technical concepts into recommendations for technical and non-technical stakeholders.
Requirements
- Bachelor’s degree or equivalent work experience.
- Eight or more years of experience in software engineering, machine learning engineering, data engineering, solution architecture, or related technical roles.
- Strong foundation in machine learning, software engineering, and solution architecture.
- Experience designing and deploying production machine learning systems in cloud environments.
- Expertise in MLOps practices including model versioning, monitoring, governance, automated retraining, and CI/CD pipelines.
- Hands-on experience with platforms such as Azure Machine Learning, AWS SageMaker, Databricks, Snowflake ML, MLflow, or Kubeflow.
- Knowledge of PyTorch, TensorFlow, Scikit-learn, XGBoost, or similar machine learning frameworks.
- Experience with feature stores, model serving, real-time inference, batch scoring, and machine learning pipelines.
- Understanding of supervised and unsupervised learning, forecasting, recommendation systems, anomaly detection, and model explainability.
- Experience making architecture decisions involving cost, performance, scalability, security, governance, and model accuracy.
- Ability to design solutions and provide technical guidance through implementation.
- Strong communication, stakeholder alignment, and cross-functional leadership skills.
- Familiarity with generative AI and large language models is preferred but not required.
Benefits
- Medical, dental, and vision healthcare coverage.
- Basic and optional term life insurance.
- Short-term and long-term disability coverage.
- Pregnancy disability and parental leave.
- 401(k) and employer-funded retirement plan.
- Paid vacation of two to five weeks depending on salary grade and tenure.
- Up to 11 paid holidays.
- Adoption assistance.
- Sick and Safe Leave accruals of one hour per 30 hours worked, up to 80 hours per calendar year unless otherwise provided by law.
- The role requires working from a U.S. Bank location three or more days per week.
Tech Stack
Categories
About U.S. Bank
At U.S. Bank, we help millions of clients achieve their goals with a balance of best-in-class technology and human expertise tailored to individual needs. As the fifth-largest commercial bank in the United States, we’ve built a reputation for strength and stability across a diversified mix of businesses, including commercial and institutional banking, business banking, payments, wealth management and consumer banking. We’ve been named one of the World’s Most Ethical Companies® by the Ethisphere Institute and the most admired superregional bank by Fortune. In addition to thousands of branches serving consumers, U.S. Bank offers a complete suite of products, services and strategic partnerships for business. Within our Wealth, Corporate, Commercial and Institutional Banking division, we serve more than half a million clients across the country and around the world, ranging from wealthy individuals and families to the largest corporations, including 90% of Fortune 1000 companies. We’re also consistently recognized as a great place to work. We’re shaping our company culture with intention, focused on creating a workplace where it’s safe to speak up, share ideas and try new things. We’re proud to be recognized as a “Best for Vets” employer by the Military Times and included on Fair360’s (formerly DiversityInc.) list of Top 50 Companies for Diversity. U.S. Bank, NA. Member FDIC. Equal Housing Lender.