AI and Data Science Engineer III

Deloitte • New York, NY

3d • $131,000 - $218,300

About The Position

Join Deloitte’s AI & Engineering team to help clients transform technology platforms, accelerate innovation, and achieve measurable business outcomes. As an AI and Data Science Engineer III, you will work with multidisciplinary teams to design and deliver AI-enabled products and data solutions that improve operations and support new digital ventures. Your work will help clients use data, machine learning, and artificial intelligence to address complex business challenges and drive growth.

In Deloitte’s AI & Data team, you will design, build, test, and deploy AI and machine-learning solutions; develop data pipelines and model-training workflows; analyze data; collaborate across technical and business teams; and monitor and improve production applications and models. You will also lead project teams and client-facing workstreams.

The role is part of Deloitte’s Government & Public Services practice, serving federal, state, and local government clients and public higher education institutions. The AI & Data offering provides solutions for designing, developing, and operating data and AI platforms, products, insights, and services. The position is based in New York, New York, and requires an average of 20% travel. Candidates must be able to obtain and maintain a U.S. Government Security Clearance and be legally authorized to work in the United States without employer sponsorship, now or in the future.

The stated salary range is $131,000 to $218,300. The employee may also be eligible to participate in a discretionary annual incentive program, subject to its governing rules and applicable factors.

Requirements

• Bachelor’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field.
• At least 4 years of professional experience designing, developing, deploying, or supporting machine-learning, artificial-intelligence, or advanced analytics solutions.
• At least 4 years of programming experience in Python, PySpark, PyTorch, and TensorFlow.
• Active certification in Python, PySpark, PyTorch, or TensorFlow.
• Ability to obtain and maintain a U.S. Government Security Clearance.
• Ability to travel an average of 20%, depending on work, clients, and industries or sectors served.
• Legally authorized to work in the United States without employer sponsorship, now or at any time in the future.
• Ability to work independently and collaboratively 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 and provide clear guidance to others.
• Ability to manage and prioritize multiple tasks in a fast-paced, dynamic environment.
• Strong interpersonal skills and professional demeanor.
• Ability to meet deadlines.

Nice To Haves

• Master’s degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a quantitative field.
• At least 2 years of experience deploying machine-learning models into production environments.
• At least 2 years of experience working with large language models, natural language processing, or generative artificial-intelligence solutions.
• At least 2 years of experience using containerization and orchestration tools such as Docker or Kubernetes.
• At least 1 year of experience supporting model monitoring, model governance, or machine-learning operations processes.

Responsibilities

• 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.
• Lead project teams and client-facing workstreams in the delivery of AI and data science solutions.

Benefits

• Broad range of employee benefits; specific benefits are not listed in the posting.
• May be eligible to participate in a discretionary annual incentive program, subject to program rules and applicable factors.
• Professional development opportunities, including on-the-job learning, formal development programs, leadership opportunities, and mentorship.

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level