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Job Description:
Accenture Federal Services is seeking a Mid-level Machine Learning Engineer to contribute to the modeling process from problem definition, through data pipeline and model implementation; applying agile methods to ML development activities. As part of our team you will have the opportunity to work on all aspects of solving difficult National Security problems; from problem definition, data exploration to model implementation to the delivery of production quality Data Science/Machine Learning solutions. You will work as part of a multidisciplinary team and will impact real-world projects.
Responsibilities include:
Here's what you need:
Bonus points if you have:
Security Clearance:
Secret US government security clearance required
Compensation for roles at Accenture Federal Services varies depending on a wide array of factors including but not limited to the specific office location, role, skill set and level of experience. As required by local law, Accenture Federal Services provides a reasonable range of compensation for roles that may be hired in California, Colorado, New York City or Washington as set forth below and information on benefits offered is here.
Role Location: Range of Starting Pay for role
California: $90,700 - $147,100
Colorado: $90,700 - $127,100
New York City: $105,000 - $147,100
Washington: $96,600 - $135,200
Full Time
$65k-79k (estimate)
02/06/2023
05/28/2023
The following is the career advancement route for Machine Learning Engineer positions, which can be used as a reference in future career path planning. As a Machine Learning Engineer, it can be promoted into senior positions as a Software Engineer IV that are expected to handle more key tasks, people in this role will get a higher salary paid than an ordinary Machine Learning Engineer. You can explore the career advancement for a Machine Learning Engineer below and select your interested title to get hiring information.