Position Summary

Do you want to build your brand by working for a leading AI technology solutions provider that drives eminence in the marketplace? Are you interested in leveraging your analytical skills and strategic ideas to improve mission execution? If so, Deloitte could be the place for you! Our Strategy and Analytics team at the AI Exploration Lab in Austin, TX brings deep industry expertise, rigorous analytical capabilities and a pragmatic mindset to help solve our client’s most complex business problems. Join our team and play a key role in helping to design our clients’ roadmap to the future and help transform the Federal/Commercial marketplace. 

Work you’ll do 

The AI Engineer will join a team responsible for developing advanced AI technology products; applying AI engineering methods to enterprise scale data to advance and enable the key mission outcomes. In this role, they will support all phases of AI engineering product development, from the identification of key business questions, through data collection and ETL, and develop solutions using a wide range of statistical, computer vision, machine learning, distributed computing, and applied mathematical techniques, optimizing the solutions for edge and distributed computing use cases, and deliver functional AI products.


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.   

 

The GPS Analytics and Cognitive (A&C) offering is responsible for developing advanced analytics products and applying data visualization and statistical programming tools to enterprise data in order to advance and enable the key mission outcomes for our clients. Our team supports all phases of analytic work product development, from the identification of key business questions through data collection and ETL, and from performing analyses and using a wide range of statistical, machine learning, and applied mathematical techniques to delivery insights to decision-makers. Our practitioners give special attention to the interplay between data and the business processes that produce it and the decision-makers that consume insights.

 

Qualifications 

Required: << Recruiter to only enter 2-4 additional basic qualifications a job seeker must demonstrably possess to even be considered as a candidate. These can include degrees, certifications, experience level and skills proficiency. >> 

  • Bachelor’s degree in Computer Science or Computer Engineering 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 a Secret level Security clearance
  • 5+ years of professional analytics experience
  • 5+ years of experience in Computer Vision
  • 5+ years of experience with programming languages such as Python, C/C++
  • 3+ years of experience with building and optimizing AI pipelines
  • 3+ years data engineering experience with ETL, SQL, NoSQL
  • 3+ years experience with cloud computing technology, distributed computing technologies, networking protocols, and embedded/edge compute technologies
  • 3+ years experience with Pytorch or TensorFlow

               

              Preferred: 

              • Experience with C++, Python, linux
              • Experience with Spark, TensorFlow or Pytorch
              • Experience deploying AI Computer Vision or NLP models on Embedded platforms
              • Experience with containerization, distributed computing, NoSQL database technologies
              • 3+ years of relevant software technology industry experience
              • Familiarity with Agile project management principles
              • Confidence to drive assignments to completion
              • Master’s degree in Computer Science or Engineering strongly preferred
              • Eagerness to learn and develop

              How you'll grow

              At Deloitte, our professional development plan focuses on helping people at every level of their career to identify and use their strengths to do their best work every day. From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to help sharpen skills in addition to hands-on experience in the global, fast-changing business world.  From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career.


              Our people and culture

              Our diverse, equitable, and inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our client most complex challenges. This makes Deloitte one of the most rewarding places to work. Learn more about our inclusive culture.

              Professional development

              From entry-level employees to senior leaders, we believe there’s always room to learn. We offer opportunities to build new skills, take on leadership opportunities and connect and grow through mentorship. From on-the-job learning experiences to formal development programs, our professionals have a variety of opportunities to continue to grow throughout their career. Learn more about our commitment to developing our people.


              As used in this posting, "Deloitte" means Deloitte Consulting LLP, a subsidiary of Deloitte LLP. Please see www.deloitte.com/us/about for a detailed description of the legal structure of Deloitte LLP and its subsidiaries.

              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.

              Requisition code: 38135

              SCAM ALERT

              Caution against fraudulent job offers!

              We have been informed of instances where jobseekers are led to believe of fictitious job opportunities with Deloitte US (“Deloitte”). In one or more such cases, false promises of actual or potential selection, or initiation or completion of the recruitment formalities appear to have been or are being made. Some jobseekers appear to have been asked to pay money to specified bank accounts of individuals or entities as a condition of their selection for a ‘job’ with Deloitte. These individuals or entities are in no way connected with Deloitte and do not represent or otherwise act on behalf of Deloitte.

              We would like to clarify that:

              • At Deloitte, ethics and integrity are fundamental and not negotiable.
              • We are against corruption and neither offer bribes nor accept them, nor induce or permit any other party to make or receive bribes on our behalf.
              • We have not authorized any party or person to collect any money from jobseekers in any form whatsoever for promises of getting jobs in Deloitte.
              • We consider candidates on merit and that we provide an equal opportunity to eligible applicants.
              • No one other than designated Deloitte personnel (e.g., a Deloitte recruiter or Deloitte hiring partner) is permitted to extend any job offer from Deloitte.

              Anyone who at any time has made or makes any payment to any party in exchange for promises of job or selection for a job with Deloitte or any matter related to this (including those for ‘registration’, ‘verification’ or ‘security deposit’) or otherwise engages with any such person who has made or makes fraudulent promises or offers, does so (or has done so) entirely at their own risk. Deloitte takes no responsibility or liability for any such unauthorized or fraudulent actions or engagements. We encourage jobseekers to exercise caution.