Lead Software Engineer (AI/ML)

Jobs via Dice; Hopkins (MN); Hybrid; USD 133,000 - 173,000; Full time

Job summary

Join a leading financial institution as a Lead Software Engineer (AI/ML) where you'll spearhead developments in an innovative point of sale (POS) product. This role demands a strong foundation in full-stack engineering, with a focus on machine learning and data solutions, tailored for small to medium-sized businesses. You'll shape the future of business banking technology, contributing to a dynamic Agile team committed to leveraging AI capabilities effectively.

Benefits

Healthcare (medical, dental, vision)

401(k) and employer-funded retirement plan

Paid vacation (2 to 5 weeks)

Up to 11 paid holiday opportunities

Adoption assistance

Qualifications

• 6-8 years of relevant experience.
• Experience in banking industry preferred.
• Knowledge of MLOps and machine learning frameworks.

Responsibilities

• Design, develop, and maintain software products.
• Implement machine learning pipelines and monitor model performance.
• Collaborate with engineering teams to integrate ML models into applications.

Skills

Java

Python

SQL

Machine Learning

Big Data

Education

Bachelor's degree or equivalent work experience

Tools

scikit-learn

TensorFlow

Keras

Azure

Docker

Job description

Join to apply for the Lead Software Engineer (AI/ML) role at Jobs via Dice

1 day ago Be among the first 25 applicants

Join to apply for the Lead Software Engineer (AI/ML) role at Jobs via Dice

Get AI-powered advice on this job and more exclusive features.

At U.S. Bank, we're on a journey to do our best. Helping the customers and businesses we serve to make better and smarter financial decisions and enabling the communities we support to grow and succeed. We believe it takes all of us to bring our shared ambition to life, and each person is unique in their potential. A career with U.S. Bank gives you a wide, ever-growing range of opportunities to discover what makes you thrive at every stage of your career. Try new things, learn new skills and discover what you excel at-all from Day One.

Job Description

U.S. Bank is looking for a Lead Software Engineer (AI/ML) to join our point of sale (POS) solutions team. The POS team supports a cloud/SAAS based product with a target audience of small to medium sized businesses. In this role, the candidate will be part of an Agile team, developing a next generation data framework for our POS product. The candidate will also help develop a big data pipeline/data analytics platform, that will integrate with other bank products, as well as solve critical customer issue. Selected candidate will have strong coding skills in Java and/or Python, as well as experience with Micro Services and cloud technologies.

Essential Responsibilities

• Responsible for designing, developing, testing, operating and maintaining products.
• Takes full stack ownership by consistently writing production-ready and testable code.
• Consistently creates optimal design adhering to architectural best practices; considers scalability, reliability and performance of systems/contexts affected when defining technical designs.
• Applying machine learning and new AI technologies to software products, develop and shape our technical strategy to further grow digital solutions for business banking segment
• Architect/design infra and software environments needed to both build and run machine learning models and online services
• Develop and implement efficient and scalable machine learning pipelines and workflows for training, validation, and deployment of models.
• Design and build rule engine, enhance it with AI capabilities
• Build shared components and/or frameworks that improve engineering productivity across the organization
• Design and implement monitoring and testing frameworks to ensure the accuracy, reliability, and performance of machine learning models in production environments
• Work with other engineering teams to integrate machine learning models into applications and services.
• Deploy and maintain ML Models in production.
• Stay up-to-date with the latest trends and best practices in MLOps, machine learning, and GenAI.
• Experience in banking industry is preferred.
  
  

Basic Qualifications

• Bachelor's degree, or equivalent work experience
• Six to eight years of relevant experience
  
  

Preferred Skills/Experience

• Strong programming skills in Python and/or Java required
• Strong SQL skills and database knowledge required
• Experience with large scale real-time data ingestion and processing
• Clear understanding of big data system concept and design methodology
• Experience in MLOps, machine learning, and GenAI.
• Experience with AI/ML libraries and frameworks such as scikit-learn, TensorFlow, Keras, and Darts or equivalent.
• Experience with Gen AI (SLM, LLM, embedding and RAG) and popular frameworks such as langchain or equivalent.
• Experience with Azure Synapse, Azure ML Studio, Azure Open AI services and Databricks
• Knowledge with modern Server architecture, such as Spring Boot, Spring
• Have a solid theoretical and engineering foundation in computer science, machine learning or computer vision, Hands-on with ML pipeline and infra, data.
• Knowledge of rules based and machine learning recommender systems.
• Experience in building microservices, will be a plus
• Familiarity with Docker/Kubernetes will be a plus
• Experience in banking industry is preferred.
  
  

Location Expectations

The role offers a hybrid/flexible schedule, which means there's an in-office expectation of 3 or more days per week and the flexibility to work outside the office location for the other days.

If there's anything we can do to accommodate a disability during any portion of the application or hiring process, please refer to our disability accommodations for applicants.

Benefits:

Our approach to benefits and total rewards considers our team members' whole selves and what may be needed to thrive in and outside work. That's why our benefits are designed to help you and your family boost your health, protect your financial security and give you peace of mind. Our benefits include the following (some may vary based on role, location or hours):

• Healthcare (medical, dental, vision)
• Basic term and optional term life insurance
• Short-term and long-term disability
• Pregnancy disability and parental leave
• 401(k) and employer-funded retirement plan
• Paid vacation (from two to five weeks depending on salary grade and tenure)
• Up to 11 paid holiday opportunities
• Adoption assistance
• Sick and Safe Leave accruals of one hour for every 30 worked, up to 80 hours per calendar year unless otherwise provided by law
  
  

U.S. Bank is an equal opportunity employer. We consider all qualified applicants without regard to race, religion, color, sex, national origin, age, sexual orientation, gender identity, disability or veteran status, and other factors protected under applicable law.

E-Verify

U.S. Bank participates in the U.S. Department of Homeland Security E-Verify program in all facilities located in the United States and certain U.S. territories. The E-Verify program is an Internet-based employment eligibility verification system operated by the U.S. Citizenship and Immigration Services. Learn more about the E-Verify program.

The salary range reflects figures based on the primary location, which is listed first. The actual range for the role may differ based on the location of the role. In addition to salary, U.S. Bank offers a comprehensive benefits package, including incentive and recognition programs, equity stock purchase 401(k) contribution and pension (all benefits are subject to eligibility requirements). Pay Range: $133,365.00 - $156,900.00 - $172,590.00

U.S. Bank will consider qualified applicants with arrest or conviction records for employment. U.S. Bank conducts background checks consistent with applicable local laws, including the Los Angeles County Fair Chance Ordinance and the California Fair Chance Act as well as the San Francisco Fair Chance Ordinance. U.S. Bank is subject to, and conducts background checks consistent with the requirements of Section 19 of the Federal Deposit Insurance Act (FDIA). In addition, certain positions may also be subject to the requirements of FINRA, NMLS registration, Reg Z, Reg G, OFAC, the NFA, the FCPA, the Bank Secrecy Act, the SAFE Act, and/or federal guidelines applicable to an agreement, such as those related to ethics, safety, or operational procedures.

Applicants must be able to comply with U.S. Bank policies and procedures including the Code of Ethics and Business Conduct and related workplace conduct and safety policies.

Posting may be closed earlier due to high volume of applicants.

Seniority level

• Seniority level

  Mid-Senior level

Employment type

• Employment type

  Full-time

Job function

• Job function

  Engineering and Information Technology

• Industries

  Software Development

Referrals increase your chances of interviewing at Jobs via Dice by 2x

Get notified about new Lead Software Engineer jobs in Hopkins, MN.

Senior Software Manufacturing Process Engineer

Machine Learning Principal Solutions Architect

Minneapolis, MN $118,000.00-$158,000.00 3 days ago

Senior .Net Software Engineer (ID:46887)

Minneapolis, MN $145,000.00-$160,000.00 2 weeks ago

Senior Software Engineer (OpenAI, Java/Spring Boot, Azure)

Greater Minneapolis-St. Paul Area $150,000.00-$185,000.00 2 days ago

Minneapolis, MN $140,000.00-$175,000.00 2 days ago

Minneapolis, MN $115,000.00-$160,000.00 4 months ago

Senior Software Development Engineer - Computational Mechanics Focus

Senior Software Engineer(Full Stack - Java/Spring Boot - C# - .NET)

Hopkins, MN $119,765.00-$154,990.00 2 days ago

2956 - Full Stack Software Engineer – React/C#

Minneapolis, MN $85,000.00-$150,000.00 1 week ago

Minneapolis, MN $60,000.00-$96,000.00 2 weeks ago

Minneapolis, MN $155,000.00-$195,000.00 1 week ago

Senior Quality Assurance Software Test Engineer

St Paul, MN $103,739.00-$122,045.00 2 days ago

Senior Software Engineer, Infrastructure & Observability

We’re unlocking community knowledge in a new way. Experts add insights directly into each article, started with the help of AI.