Machine Learning Software Engineer

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Kforce Technology Staffing
Contract W2, Temp
Competitive
Work from home not available Travel not required

Job Description

RESPONSIBILITIES:
Kforce has a client in building a team of Machine Learning Software Engineers in Wilmington, Delaware (DE) and Tampa, Florida (FL) and Plano, Texas (TX). This team is focused on developing and delivering cutting edged mobile applications, digital experiences and next generation banking technology solutions to better serve our clients and customers.


Summary:
Our Machine Learning Software Engineers will have the business acumen to understand and analyze problems, define and test hypotheses and develop Machine Learning frameworks and best practices. Additionally, they will be responsible to intricate knowledge of our business domains and data sets which include Systems of Record (SOR), historical and external data. Finally, this individual will take ownership in designing models to deliver performance and accuracy when operationalized as well as inference engines at scale with the business processes and applications.

Duties:
* Analyze and conduct learning/simulations with large datasets combining multiple platforms (ex. Hadoop, Spark, AWS), and machine learning frameworks (ex. R, sci-kit, PySpark, Pandas, TensorFlow)
* Lead/mentor a team of data scientists and machine learning engineers, who help the business identify new insights from large/rich data sets, and implement data driven strategies that reduces fraud, post-fraud loss and other operational efficiencies

REQUIREMENTS:
* 3+ years of hands-on experience: Python (or other scripting), Java, Hadoop/Spark/Hive and/or AWS, and 10+ years of hand-on experience with SQL
* Expertise across application, data and infrastructure architecture disciplines
* Advanced knowledge of architecture, design and business processes
* Experience with Machine Learning, Deep Learning, Data Mining, and/or Statistical Analysis tools
* Operationalize machine learning models using offline and online models, model performance monitoring, frequent/automated model updates, back/now testing, managed test harness and managed feature libraries; Ability to automate data exploration and model exploration activities and embed end-to-end model development and deployment into automated CI-CD/DevOps pipelines
* Hands-on data analytics using machine learning, statistical modelling and/or data mining to uncover insights from large data sets and develop data and predictive models supporting multiple business domains spanning Fraud, Consumer Banking Operations, Digital Banking and Customer Experience scenarios. Interpret and explain methods using statistical analysis


Kforce is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, pregnancy, sexual orientation, gender identity, national origin, age, protected veteran status, or disability status.

Posted By

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Company Information

Kforce is a professional staffing and solutions firm specializing in the technology areas of application development, project management, business analysis, enterprise data management and infrastructure for commercial and government organizations. Kforce has been matching job seekers and employers since 1962. We are committed to having a meaningful impact on all the lives we serve and offer exciting job opportunities across the United States. Kforce specializes in providing strategic partnership in the areas of Technology and Finance & Accounting. Our staffing specialists work to understand your career goals and offer career advice in order to help you become a more marketable technology professional. Your success is our mission. Gain meaningful connections with your skills and our network.
Dice Id : kforcecx
Position Id : ITJPT1875988
Originally Posted : 2 months ago

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