Data Engineer II on Deloitte's AI and Engineering team focuses on migrating data pipelines and training/inference workloads onto a federated AI platform, while developing distributed AI workflows across AWS, GCP, and Azure. This onsite role is based in Jersey City, NJ, with a salary range of USD 97,700 to 162,800 per year and requires a Bachelor's degree with at least two years of relevant experience.
Role Details
- Location: Jersey City, NJ (onsite)
- Salary: USD 97,700 - 162,800 per year
- Minimum Experience: 2 years
- Education: Bachelor's degree
Responsibilities
- Collaborate with data scientists and AI model developers to migrate pipelines and training/inference workloads to a federated AI platform, ensuring scalability and performance.
- Design, implement, and validate distributed AI workflows, including data preprocessing, model training, and inference across AWS, GCP, and Azure.
- Provide hands-on technical support to data science teams, troubleshooting VM, OS, and cloud infrastructure issues impacting model execution.
- Develop and maintain expertise in federated learning frameworks, notably NVIDIA FLARE, to enable secure and efficient distributed model development.
Requirements
- Bachelor's degree
- 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 the required clearance for this role
- 2+ years of experience in agile environments with hands-on involvement in testing and validating data, ML, or distributed workflows
- 2+ years of experience implementing solutions in cloud environments (AWS, GCP, or Azure), including deploying data pipelines or AI/ML workloads
- 2+ years of experience with cloud networking fundamentals, including configuring and troubleshooting network components supporting distributed systems
- 2+ years of experience supporting or contributing to AI/ML or GenAI solutions, with exposure to model architecture, training, or inference workflows
- 2+ years of experience developing in Python for data engineering, automation, or machine learning use cases
Technologies
- NVIDIA FLARE
- Python
- AWS
- GCP
- Azure
Benefits
- Discretionary annual incentive program
The Team
Deloitte's Government & Public Services (GPS) practice serves federal, state, and local government clients and public higher education institutions. The GPS team brings fresh perspectives to help clients anticipate disruption, reimagine the possible, and fulfill their mission.
The 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.
