This onsite Philadelphia opportunity leads the end to end lifecycle of machine learning and AI initiatives, guiding design, development, testing, and deployment while coordinating AI engineering workstreams, building production grade data pipelines, and mentoring junior practitioners alongside collaboration with engineers and business stakeholders.
Responsibilities
- Oversee the full lifecycle of machine learning and artificial intelligence solutions for business needs and client projects.
- Direct AI engineering workstreams by assigning tasks, reviewing deliverables, and ensuring quality, timeliness, and issue resolution across the team.
- Develop and supervise data pipelines, model training workflows, and production ready components that support AI enabled products.
- Collaborate with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide technical decisions.
- Coach and mentor junior practitioners, provide day to day guidance, and monitor model and application performance to improve accuracy, reliability, and scalability.
Requirements
- Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field.
- 7+ years of professional experience.
- 5+ years of experience designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
- 3+ years of programming experience in Python, PySpark, PyTorch, and TensorFlow.
- 2+ years of technology consulting experience in the Federal Health sector.
- 2+ years of deploying machine learning models into production environments.
- 2+ years of experience leading technical teams, projects, or workstreams delivering AI or machine learning solution delivery.
- 1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
- Active or advanced certifications in Python, PySpark, PyTorch, and TensorFlow.
- Ability to travel approximately 20 percent, depending on client engagements.
- Legal authorization to work in the United States without employer sponsorship now or in the future.
Technologies
- Python
- PySpark
- PyTorch
- TensorFlow
- Docker
- Kubernetes
- Gemini
- Anthropic
- OpenAI
Benefits
- Discretionary annual incentive program
The Team
Deloitte's Government & Public Services GPS practice focuses on delivering impact by combining people, ideas, technology, and outcomes. The team serves federal, state, and local government clients as well as public higher education institutions, bringing fresh perspectives to anticipate disruption, reimagine possibilities, and fulfill mission promises.
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. These offerings help clients mature and scale their data, AI, and analytics capabilities with organizational intelligence programs and differentiated strategies to win in their markets.
Compensation
The salary range for this role is USD 159,100 to 265,100 per year, reflecting a broad set of factors including skills, experience, training, licensure, certifications, and other business needs. The range has not been adjusted for geographic differences associated with the location. At Deloitte, it is not typical for an individual to be hired at or near the top of the range.
You may also be eligible to participate in a discretionary annual incentive program, subject to program rules, with awards based on various factors including individual and organizational performance.
