What are the responsibilities and job description for the Machine Learning Software Engineer position at Zions Bank Careers?
Zions Bancorporation’s Enterprise Technology and Operations (ETO) team is transforming what it means to work for a financial institution. With a commitment to technology and innovation, we have been providing our community, clients and colleagues the best experience possible for over 150 years. Help us transform our workforce of the future, today.
We are seeking a Machine Learning Software Engineer to join Zions Bancorporation. As a Machine Learning Software Engineer you will be part of an Agile team dedicated to productionizing machine learning applications and systems at scale. You will be involved in the detailed technical design, development, and implementation of machine learning applications using both existing and emerging technology platforms. You’ll focus on machine learning architectural design, develop and review model and application code, and ensure high availability and performance of our machine learning applications. You'll have the opportunity to continuously learn and apply the latest innovations and best practices in machine learning engineering.
Responsibilities:
The Machine Learning Software Engineer draws from many disciplines, such as Operations, Modeling, and Data Engineering. In this role, you'll be expected to perform many ML engineering activities, including one or more of the following:
Design, build, maintain, and/or deliver ML models and components that solve real-world business problems, while working in collaboration with the Product and Data Science teams.
Inform infrastructure decisions using your understanding of machine learning techniques and issues, including choice of model, data, and feature selection, model training, hyperparameter tuning, dimensionality, bias/variance, and validation.
Solve complex problems by writing and testing application code, developing and evaluating ML models, and automating tests and deployment.
Collaborate as part of a cross-functional Agile team to create and enhance software that enables state-of-the-art big data and ML applications.
Retrain, maintain, and monitor models in production.
Leverage or build cloud-based architectures, technologies, and/or platforms to deliver optimized ML models at scale.
Construct optimized data pipelines.
Leverage CI/CD best practices to ensure successful deployment of ML models and application code.
Ensure all code is well-managed to reduce vulnerabilities, models are well-governed from a risk perspective, and the ML follows best practices in Responsible and Explainable AI.
Qualifications:
8 years of experience designing and building data-intensive solutions using distributed computing
Bachelor's in computer science, mathematics, or a relevant field. Masters or doctorate degree is preferred. A combination of education and experience may meet qualifications.
Proficiency in Python, with experience building, scaling, and optimizing ML systems
Preferred Qualifications:
Fluency with a standard ML framework such as scikit-learn, PyTorch, Dask, Spark, or TensorFlow
Strong understanding of software engineering fundamentals such as algorithms, version control, and error handling
Ability to use business requirements to determine data relevance
Experience with cloud platforms (AWS, Azure, GCP) and containerization (Docker, Kubernetes)
Experience building and maintaining production data pipelines
Location:
This position has a hybrid work from home schedule with a minimum of three days per week in the office at the new Zions Technology Center in Midvale, UT.
The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company’s primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as:
Electric vehicle charging stations and close proximity to Historic Gardner Village UTA TRAX station.
At least 75% of the building is powered by on-site renewable solar energy.
Access to outdoor recreation, parks, trails, shareable bikes and locker rooms.
Large modern cafe with a healthy and diverse menu.
Healthy indoor environment with ample natural light and fresh air.
LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.
Benefits:
Medical, Dental and Vision Insurance - START DAY ONE!
Life and Disability Insurance, Paid Parental Leave and Adoption Assistance
Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts
Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays
401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience
Mental health benefits including coaching and therapy sessions
Tuition Reimbursement for qualifying employees
Employee Ambassador preferred banking products
Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we serve.