Machine Learning Engineer, US Federal, ProServe
4 weeks ago
Job ID: 2725409 | Amazon Web Services, Inc.
Are you passionate about using your Machine Learning Engineering expertise to build customer trust and grow new business? Amazon Web Services is seeking a dedicated Machine Learning Engineer that can combine open source technologies such as Spark, Hadoop and Presto, as well as AWS services like DynamoDB, Kinesis, Elastic Map Reduce and Redshift to build the next generation of our analytics and data orchestration platform. This is your opportunity to be a core part of the team that has direct impact on the day-to-day decision making in many AWS Product teams like EC2, S3, Lambda, IoT and more.
The ideal candidate will have a passion for big data, strong experience in distributed systems and web services design, as well as an ability to work on highly available production systems. You will be a key stakeholder in the technical architecture of our BI and Data platforms. You will get the exciting opportunity to work on very large data sets in one of the world's largest and most complex data warehouse environments. Our team is serious about great design and redefining best practices with a cloud-based approach to scalability and automation. A successful candidate will be a self-starter, comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced and ever-changing environment, and an ability to work effectively with cross-functional teams.
This position requires up to 10% travel and is expected to work from one of the above locations (or customer sites) at least 1+ days a week. This is not a remote position. You are expected to be in the office or with customers as needed.
This position requires that the candidate selected must currently possess and maintain an active TS/SCI security clearance. The position further requires that, after start, the selected candidate obtain and maintain an active TS/SCI security clearance with polygraph or commensurate clearance for each government agency for which they perform AWS work.
BASIC QUALIFICATIONS- 2+ years of data scientist experience
- 3+ years of data querying languages (e.g. SQL), scripting languages (e.g. Python) or statistical/mathematical software (e.g. R, SAS, Matlab, etc.) experience
- 3+ years of machine learning/statistical modeling data analysis tools and techniques, and parameters that affect their performance experience
- Experience applying theoretical models in an applied environment
- Current, active US Government Security Clearance of Top Secret or above
- Experience in Python, Perl, or another scripting language
- Experience in a ML or data scientist role with a large technology company
Amazon is committed to a diverse and inclusive workplace. Amazon is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.
Posted: August 15, 2024
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