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Principal Machine Learning Engineer
Principal Machine Learning EngineerRegions Bank • Hoover, Alabama, USA
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Principal Machine Learning Engineer

Principal Machine Learning Engineer

Regions Bank • Hoover, Alabama, USA
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Thank you for your interest in a career at Regions. At Regions we believe associates deserve more than just a job. We believe in offering performance-driven individuals a place where they can build a career a place to expect more opportunities. If you are focused on results dedicated to quality strength and integrity and possess the drive to succeed then we are your employer of choice.

Regions is dedicated to taking appropriate steps to safeguard and protect private and personally identifiable information you submit. The information that you submit will be collected and reviewed by associates consultants and vendors of Regions in order to evaluate your qualifications and experience for job opportunities and will not be used for marketing purposes sold or shared outside of Regions unless required by law. Such information will be stored in accordance with regulatory requirements and in conjunction with Regions Retention Schedule for a minimum of three years. You may review modify or update your information by visiting and logging into the careers section of the system.

Job Description :

At Regions the Principal Machine Learning Engineer (MLE) supports the Data and Analytics organization by designing customizing and implementing data science and analytics platforms for the development and production of machine learning models. The MLE will use machine learning knowledge and software architecture expertise to design model promotion pipelines implement dev / ops capabilities for machine learning models and design processes for ensuring provenance across training and inference. The Principal MLE is a forward thinking and visionary role and will be a key leader in developing and supporting Regions model lifecycle infrastructure strategy.

Primary Responsibilities

  • Designs and implements self-service model deployment strategies
  • Promotes Regions cloud strategy and designs cloud-native machine learning workflows
  • Develops tooling to facilitate model development deployment and monitoring of data products
  • Develops automated workflows for machine learning pipelines
  • Collaborates with data engineers and data scientists to develop data and model pipelines
  • Creates RESTful application programming interface (APIs) for streamlining monitoring and reporting on the model lifecycle
  • Designs and implements deployment infrastructure
  • Creates and evangelizes best practices in model operations
  • Helps contribute to a collaborative open developer environment
  • Leads improvements in methodology or initiatives to address capability gaps or increase efficiency
  • Offers advice and guidance to junior associates for the sake of continuous improvement

This position is exempt from timekeeping requirements under the Fair Labor Standards Act and is not eligible for overtime pay.

This position is incentive eligible.

Requirements

  • Bachelors degree in Computer Science or a quantitative field
  • Eight(8) years of related experience
  • Preferences

  • Masters degree
  • Experience with big data and machine learning tools such as Spark Dask Kubeflow Airflow
  • Experience with micro-service architecture and web-services
  • Experience with cloud technologies such as AWS GCP Azure Snowflake Terraform
  • Working knowledge of machine learning models common model deployment pitfalls and inherent complexities
  • Sills and Competencies

  • A proven track record of working in teams and of leading projects
  • Demonstrated experience with software engineering best practices and implementing software development lifecycles
  • Demonstrated success in one or more of the following programming languages : Python Golang Java JavaScript Rust and Scala
  • Experience delivering and scaling models in production
  • Experience developing RESTful APIs
  • Experience with Docker / Kubernetes
  • Partnering with Data Scientists Data Engineers AI Engineers on delivering production data machine learning and AI use cases
  • Building re-usable ML and AI deployment pipelines
  • Designing and building architecture an patterns for training registering deploying and monitoring models
  • Regions will not sponsor applicants for work visas for this position at this time. Applicants for this position must currently be authorized to work in the United States on a full-time basis.

    Position Type

    Full time

    Compensation Details

    Pay ranges are job specific and are provided as a point-of-market reference for compensation decisions. Other factors which directly impact pay for individual associates include : experience skills knowledge contribution job location and most importantly performance in the job role. As these factors vary by individuals pay will also vary among individual associates within the same job.

    The target information listed below is based on the Metropolitan Statistical Area Market Range for where the position is located and level of the position.

    Job Range Target : Minimum :

    $149908.55 USD

    Median : $197140.00 USD

    Incentive Pay Plans :

    This role is eligible to participate in the annual discretionary incentive plan. Employees are eligible to receive a discretionary award based on individual business and / or company to participate in the Long Term Incentive Plan.

    Benefits Information

    Regions offers a benefits package that is flexible comprehensive and recognizes that one size does not fit all for benefits-eligible associates. Listed below is a synopsis of the benefits offered by Regions for informational purposes which is not intended to be a complete summary of plan terms and conditions.

  • Paid Vacation / Sick Time
  • 401K with Company Match
  • Medical Dental and Vision Benefits
  • Disability Benefits
  • Health Savings Account
  • Flexible Spending Account
  • Life Insurance
  • Parental Leave
  • Employee Assistance Program
  • Associate Volunteer Program
  • Please note benefits and plans may be changed amended or terminated with respect to all or any class of associate at any time. To learn more about Regions benefits please click or copy the link below to your browser.

    Details

    Riverchase Operations Center

    Location : Hoover Alabama

    Equal Opportunity Employer / including Disabled / Veterans

    Job applications at Regions are accepted electronically through our career site for a minimum of five business days from the date of posting. Job postings for higher-volume positions may remain active for longer than the minimum period due to business need and may be closed at any time thereafter at the discretion of the company.

    Required Experience :

    Staff IC

    Key Skills

    Design,Academics,AutoCAD 3D,Cafe,Fabrication,Java

    Employment Type : Full-Time

    Experience : years

    Vacancy : 1

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