Are you looking to elevate your AI development career? Your technical skills? Your opportunity for growth? Deloitte's Government and Public Services Cyber Practice (GPS Cyber Practice) is the place for you! Our GPS Cyber Practice helps organizations create a cyber minded culture and become stronger, faster, and more innovative.
You will become part of a team that advises, implements, and manages AI-based technical solutions across five verticals: Strategy, Defense and Response; Identity; Infrastructure; Data; and Application Security.
Our dynamic team offers opportunities to work with cutting-edge cyber security tools and grow both vertically and horizontally at an accelerated rate.
Join our cyber team and elevate your career.
Work you'll do
Develop AI-based tools that drive efficiencies in service delivery
Collaborate with a cloud development team for model integration
The teamDeloitte's Government and Public Services (GPS) practice - our people, ideas, technology, and outcomes-is designed for impact.
Serving federal, state, & local government clients as well as public higher education institutions, our team of more than 15,000 professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise
At Deloitte, we believe cyber is about starting things-not stopping them-and enabling the freedom to create a more secure future.
Cyber Infrastructure is focused on rethinking how security is integrated across modernized infrastructure as cyber threats become more complex.
If you're seeking a career implementing, architecting, and-in select cases-handling next generation controls to manage security risks and exposure, then the Cyber Infrastructure team at Deloitte is for you.
Qualifications
Required:
Bachelor's degree required
1 year plus experience in Python development.
1 year plus experience in Machine Learning experience, irrespective of the programming language
1 year plus experience or college course level learning with Python Machine Learning libraries, especially PyTorch.
TensorFlow and/or Keras experience are also relevant.
Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future.
Must be able to obtain and maintain the required clearance for this role.
Ability to travel 0-15%, on average, based on the work you do and the clients and industries/sectors you serve.
Preferred Requirements:
Firm grasp of mathematics that power machine learning models, including Statistics, Probability, Linear Algebra, Calculus
6 months plus experience developing in a cloud native machine learning service such as Google Cloud Vertex AI or AWS SageMaker
6 months plus experience deploying AI/ML models in Docker, cloud environments, or API.
6 months plus experience using GitHub for version control and source code management.
Prior professional services or federal consulting experience
Information for applicants with a need for accommodation: https://www2.
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