AWS Big Data & ML EngineerĀ 

Location: McLean, VA


Job Description
•    Responsible for delivery in the areas of: Technology Strategy’s AWS Big Data engineering & Machine Learning which includes technology implementations and algorithm development
•    Develop AWS Cloud Formation Templates to support Infrastructure As Code paradigm
•    Leverage Kinesis/ EMR/ Code in Python to extract, clean and manipulate large datasets both structured and unstructured to construct data staging layers and fast real-time systems to feed machine learning algorithms 
•    Build machine learning models, review and test the effectiveness and accuracy of Image Analytics, NLP, etc on AWS and Google Cloud Managed Services
•    Utilize expertise in models that leverage the newest data sources, technologies, and tools, such as machine learning, Python, Hadoop, Spark, AWS, as well as other cutting-edge tools and applications for Big Data
•    Support Innovation Lab to research & investigate the impact of new technologies, applications, and data sources on the future of secondary mortgage business
•    Demonstrated ability to quickly learn new tools and paradigms to deploy cutting edge solutions
•    Create large scale deployments using newly researched methodologies.
•    Work in Agile environment
•    Experience mentoring junior engineers.

Basic Qualifications
•    Bachelor’s degree in Computer Science or Information Technology
•    At least 5 years of experience in Big Data Technologies
•    At least 3 years’ experience with AWS with Big Data Technologies/Machine Learning Engineering
•    AWS Certified – Solutions Architect/Developer
•    AWS Certified – Big Data/Machine Learning Specialty

Preferred Qualifications
•    Master’s Degree in Computer Science
•    At least 3 years’ experience in Python (NumPy, SciPy, scikit-learn, pandas) and any other open source programming languages for large scale data analysis
•    At least 3 years’ experience with machine learning and natural language processing
•    2+  years of experience working with financial data
•    10+ years of overall software experience
•    Strong communication skills, with the ability to work both independently and in project teams