AWS Big Data & Machine Learning Engineer
Mclean, VA

Job Description

AWS Big Data & Machine Learning Engineer

Location: McLean, VA 22102

Duration: 6 months

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

As an equal opportunity employer, ICONMA prides itself on creating an employment environment that supports and encourages the abilities of all persons regardless of race, color, gender, age, sexual orientation, citizenship, or disability.