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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.
+ Designs and implements self-service model deployment strategies
+ Promotes Regions' cloud strategy and design 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 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.
+ Bachelor's degree in Computer Science or a quantitative field
+ Eight (8) years of related experience
+ Master's 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
+ Demonstrated experience with software engineering best practices and implementing software development lifecycles.
+ A proven track record of working in teams and of leading projects
+ Experience developing RESTful APIs
+ Experience with Docker/Kubernetes
+ Experience delivering and scaling models in production
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 national range and level of the position._
Job Range Target:
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 performance.
Regions offers a benefits package that is flexible, comprehensive and recognizes that "one size does not fit all" for 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.
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Bring Your Whole Self to Work
We have a passion for creating an inclusive environment that promotes and values diversity of race, color, national origin, religion, age, sexual orientation, gender identity, disability, veteran status, genetic information, sex, pregnancy, and many other primary and secondary dimensions that make each of us unique as individuals and provide valuable perspective that makes us a better company and employer. More importantly, we recognize that creating a workplace where everyone, regardless of background, can do their best work is the right thing to do.
OFCCP Disclosure: Equal Opportunity Employer/Disabled/Veterans