AI and Data Science Engineer III
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Role details
Tech stack
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Job description
As an AI and Data Science Engineer III on the AI & Data team, you will be responsible for…
- Designing, developing, and deploying artificial intelligence, machine learning, and data science solutions for government and public sector clients
- Building and maintaining data pipelines, model workflows, and production processes that support scalable analytics and artificial intelligence use cases
- Translating mission and business requirements into technical designs, data assets, and solution components
- Collaborating with cross-functional teams to integrate data science solutions into client environments and broader technology ecosystems
- Supporting testing, documentation, model monitoring, and continuous improvement of data and artificial intelligence products and services
Requirements
- Ability to work independently and collaborate as part of a team
- Effective written and verbal communication skills
- Meticulous attention to detail and quality of work product
- Ability to build and sustain professional relationships
- Ability to lead projects or workstreams
- Ability to manage and prioritize multiple tasks in a fast-paced and dynamic environment
- Strong interpersonal skills and professional demeanor
- Ability to meet deadlines
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Ability to provide clear guidance to others The team, Required:
- Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a technical field
- 5+ years of professional experience
- 2+ years of experience developing and deploying machine learning, artificial intelligence, or predictive analytics solutions in production environments
- 2+ years of experience using Python and Structured Query Language to build data pipelines, models, or analytics solutions
- 2+ years of experience with cloud platforms such as Amazon Web Services, Microsoft Azure, or Google Cloud Platform
- Ability to travel 30%, on average, based on the work you do and the clients and industries/sectors you serve.
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Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future. Preferred:
- Experience supporting government or public sector clients
- Experience with natural language processing, generative artificial intelligence, or large language model solutions
- Experience with Databricks, Apache Spark, or distributed data processing platforms
- Experience with machine learning operations tools for model deployment and monitoring
- Experience with Docker, Kubernetes, or containerized deployment workflows
- Experience working in Agile delivery environments For individuals assigned and/or hired to work in Virginia, Deloitte is required by law to include a reasonable estimate of the compensation range for this role. This compensation range is specific to Virginia and 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. 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 $131,000 to $218,300.
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.
About the company
Deloitte’s Government & 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 professionals brings fresh perspective to help clients anticipate disruption, reimagine the possible, and fulfill their mission promise.
Our AI & Data offering provides a full spectrum of solutions for designing, developing, and operating cutting-edge Data and AI platforms, products, insights, and services. Our offerings help clients innovate, enhance and operate their data, AI, and analytics capabilities, ensuring they can mature and scale effectively.
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