Student Veterans of America Jobs

Welcome to SVA’s jobs portal, your one-stop shop for finding the most up to date source of employment opportunities. We have partnered with the National Labor Exchange to provide you this information. You may be looking for part-time employment to supplement your income while you are in school. You might be looking for an internship to add experience to your resume. And you may be completing your training ready to start a new career. This site has all of those types of jobs.

Here are a few things you should know:
  • This site is mobile friendly. You do not need a log-in or password to access information.
  • Jobs on this site are original and unduplicated and come from three sources: the Federal government, state workforce agency job banks, and corporate career websites. All jobs are vetted to ensure there are no scams, training schemes, or phishing.
  • The site is refreshed daily to remove out-of-date content.
  • The newest jobs are listed first, so use the search features to match your interests. You can look for jobs in a specific geographical location, by title or keyword, or you can use the military crosswalk. You may want to do something different from your military career, but you undoubtedly have skills from that occupation that match to a civilian job.

Job Information

Deloitte Trustworthy/Ethical AI Consultant in Rosslyn, Virginia

Are you looking to make an impact by helping agencies meet their mission goals through successful implementation and operation of their regulatory, mission or compliance programs? Are you ready to help our clients mitigate risks that arise from transformational core business operational change or ongoing operations? Are you interested in helping clients transform how they operate their business to be more effective? If so, Deloitte's Regulatory Compliance team could be the place for you! Our team brings professionals with diverse skillsets including deep experience in industry, AI-enabled data analytics, statistical modeling, and cloud technologies to help our clients preserve their reputation and public trust of their agencies while managing regulatory demands.

Work you'll do

  • From a technical perspective this is a cross-functional role where you will collaborate with platform engineers, data engineers, system designers, architects, database administrators, and cyber security risk professionals to assist in the overall design of production modeling systems

  • Develop, deploy, and manage AI technologies in a manner that complies with regulatory and ethical principles. This involves considering the potential consequences of AI systems and ensuring that they are designed and used in ways that minimize harm while maximizing the value of providing modeling insights delivered to our clients

  • Drive the development, ongoing maintenance, and governance of advanced machine learning models and AI pipelines in a growing AI environment

  • You will be working with a team of data scientists, engineers, and model validation professionals in designing and releasing new capabilities to advance data science techniques and improve the trust and transparency in the AI modeling lifecycleinterpret and translate model results, metadata, trends, and takeaways to team members, clients, and executive leadership with varying levels of subject matter knowledge.

  • You will be supporting thought leadership on the evolving agenda of AI model governance of overseeing the execution and effectiveness of key modeling governance activities around performance monitoring, testing, and change management in alignment with industry best practices.

The team

Deloitte'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 over 15,000+ professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.

We bring a diverse set of forward thinking capabilities to help agencies proactively manage risks they face in their dynamically changing environments. Our team assesses and transforms the process, controls, and/or infrastructure needed to help our clients address a wide variety of regulatory and compliance risks. We leverage solutions that align to the end-to-end regulatory lifecycle through leveraging AI technology and innovative solutions that incorporate industry as well as domain knowledge.

Qualifications

Required:

  • Bachelor's degree required

  • 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

  • 2+ years of experience managing and analyzing big data

  • Hands-on development experience of AI/ML models, open-source software packages, or cloud AI software

  • Experience across the entire model development lifecycle, including interacting with model risk management teams and executing model governance best practices to support trust in AI

  • Technical understanding, including proficiency in an analytical programming language, such as SAS, Python, or R

  • Genuine passion for AI and interest in using machine learning techniques to solve practical business problems and ethical concerns

  • A driven self-starter and leader with strong project management skills and proven instances of successfully delivering AI projects and systems

  • Attentive to detail and quick to adapt to new challenges

  • Strong executive presentation skills to effectively communicate with internal and external stakeholders across business units, technology, and policy teams

  • Ability to travel 0-20%, on average, based on the work you do and the clients and industries/sectors you serve

Preferred:

  • Experience with advanced machine learning techniques and packages (TensorFlow, PyTorch, Keras, Scikit-Learn, Pandas, NumPy, Seaborn, Orange3, SciPy, Matplotlib, Theano)

  • Development experience of explainable AI algorithms and frameworks (LIME, SHAP)

  • Project Management certification (PMP, PRINCE) and/or Agile (e.g., APM, CSM, PMI-ACP, SAFe SM, CSPO)

  • Cloud certifications (AWS, Azure, Google Cloud)

  • Experience orchestrating MLOps pipelines (MLflow, Kubeflow)

  • Experience with designing controls for adversarial machine learning threats

  • Published research in the field of AI ethics or AI trust

  • Development of AI audit or governance frameworks

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $80,370 to $155,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Information for applicants with a need for accommodation: https://www2.deloitte.com/us/en/pages/careers/articles/join-deloitte-assistance-for-disabled-applicants.html

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law.

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