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Machine Learning Engineer

extra holidays - extra parental leave

Remote:

Full Remote

Experience:

Senior (5-10 years)

Work from:

California (USA), United States

Offer summary

Qualifications:

Bachelor's with 9+ years or Master's with 7+ years experience., CISSP and CEET Certifications required., Python certifications needed., Security clearance eligibility required..

Key responsabilities:

Develops and applies analytic models including ML and deep learning.
Works in cross-functional teams to derive insights from data.

SAIC XLarge https://bit.ly/lihomepage

10001 Employees

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Job description

Job ID 2415724

Location ARLINGTON, VA, US

Date Posted 2024-12-11

Category Engineering and Sciences

Subcategory Machine Learning Engineer

Schedule Full-time

Shift Day Job

Travel Yes, 10 % of the Time

Minimum Clearance Required Secret

Clearance Level Must Be Able to Obtain TS/SCI

Potential for Remote Work No

Description

A trusted leader in cloud, digital engineering, data, and Artificial Intelligence, the nation looks to SAIC to integrate emerging technology to modernize critical missions and enable its national imperatives. To address the growing demands within the Department of Defense, SAIC is seeking a highly skilled and dynamic Machine Learning Engineer to support data and AI products for Data and AI Infrastructure Management for our Digital and AI Team as we embark on a large initiative to lead the design and operate integrated Enterprise IT solutions that deliver AI-enabled capabilities and enable data-driven decision making to missions across the Department, Services, and Combatant Commands.

The Ideal candidate will be adept at managing customer relationships, driving operational excellence, and fostering continuous improvement across all service areas.

Core Responsibilities 

Develops, researches, and applies analytic models, including machine learning and deep learning, to datasets in a variety of domains, including computer vision, natural language processing, or time series analysis.
Experience working with GPU compute with leading libraries such as TensorFlow, Keras, and PyTorch.
Experience or working knowledge of data engineering concepts.
Works in cross-functional teams with data at all stages of the analysis lifecycle to derive actionable insight.
Translates mission needs into an end-to-end analytical approach to achieve results.
May perform the pre-analytics areas of data collection and understanding, data cleansing and integration, and data storage and retrieval.
Determines the appropriate analytics based on the data and the desired outcomes.
Interprets the validity of results and communicates the meaning of those results.
Follows a scientific approach to generate value from data, verifying results at each step.

Qualifications

Required Qualifications

Bachelors and nine (9) years or more experience; Masters and seven (7) years or more experience; PhD or JD and four (4) years or more related experience.
Information Systems Security Professional (CISSP) Certification.
CEET Certification.
Python Certifications.
Candidate must be able to obtain, or maintain, the security clearance as required.

Preferred Qualifications

Google Cloud ML Engineer Certification.
AWS - ML Certification.

Join SAIC Be a part of a team that's passionate about the power of AI to transform the public sector.

Apply Now Interested candidates with a drive for innovation are encouraged to apply. Share your passion, expertise, and leadership by joining our team.

SAIC accepts applications on an ongoing basis and there is no deadline.

Covid Policy SAIC does not require COVID-19 vaccinations or boosters. Customer site vaccination requirements must be followed when work is performed at a customer site.