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Machine Learning Engineer (Remote Opportunity)

Job description

To apply please visit:


https://jobs.explorejobsearch.com/job-detail/523571/machine-learning-engineer-remote-opportunity


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 Machine Learning Engineer (MLE) supports the Data and Analytics organization by designing, customizing, and implementing data science platforms for the development and production of machine learning models. The MLE will use machine learning knowledge and software architecture expertise to design promotion pipelines, implement dev/ops capabilities for machine learning models, and design processes for ensuring provenance across training and inference. The 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 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 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


Pushes best practices in model operations


Helps contribute to a collaborative, open developer environment


May provide advice and guidance to junior associates on occasion


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


Bachelor's degree in Computer Science or a quantitative field


Four(4) years of experience


Experience with big data and machine learning tools such as Spark, HBase, Hive, Kubeflow, and Airflow


Working knowledge of machine learning models


PreferencesMaster's degreeSills and Competencies


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 developing RESTful APIs


Experience with Docker/Kubernetes


TypeFull timeCompensation DetailsPay 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:Minimum:$75,382.50 USDMedian:$113,610.00 USDIncentive Pay Plans:This job is not incentive eligible.Benefits InformationRegions 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.[ Link removed ] - Click here to apply to Machine Learning Engineer (Remote Opportunity) DetailsRiverchase OPS CenterLocation:Hoover, AlabamaBring Your Whole Self to WorkWe 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


To apply please visit:


https://jobs.explorejobsearch.com/job-detail/523571/machine-learning-engineer-remote-opportunity


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