Generative AI Engineer III - Federal Health

As an AI and Data Science Engineer III on the team, you will be responsible for:

• Design, build, test, and deploy machine learning and artificial intelligence solutions for business and client use cases
• Develop and maintain data pipelines, model training workflows, and production-grade application components that support AI-enabled products
• Analyze structured and unstructured data to identify patterns, generate insights, and support model development and validation
• Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into technical solutions
• Monitor model and application performance, troubleshoot issues, and implement enhancements to improve accuracy, reliability, and scalability

A successful candidate would possess these skills:

• 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
• Ability to provide clear guidance to others

Required:

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
• 5+ years of professional experience designing, developing, deploying, or supporting machine learning, artificial intelligence, or advanced analytics solutions
• 3+ years of experience programming in Python, PySpark, PyTorch, and TensorFlow
• 1+ years of technology consulting experience in the Federal Health space
• Active certification in Python, PySpark, PyTorch, or TensorFlow
• Ability to travel 20%, on average, based on the work you do and the clients and industries/sectors you serve.
• 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:

• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field
• Ability to obtain and maintain a US government security clearance
• 2+ years of experience deploying machine learning models into production environments
• 2+ years of experience working with large language models, natural language processing, or generative artificial intelligence solutions
• 2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
• 1+ years of experience supporting model monitoring, model governance, or machine learning operations processes

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 $110,700 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.

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Deloitte is committed to providing reasonable accommodations for people with disabilities. If you require a reasonable accommodation to participate in the recruiting process, please direct your inquiries to the Global Call Center (GCC) at USTalentCICInbox@deloitte.com.