Senior AI & Data Engineer for Government

Relha LLC; United States; On-site; USD 131,000 - 218,000; Full time

Job summary

Deloitte’s AI & Data team seeks an AI & Data Science Engineer III to design, develop, and deploy ML and data science solutions for government and public sector clients in the United States. You will build scalable data pipelines, model workflows, and production processes while collaborating with cross-functional teams to integrate solutions into client environments.

The role requires 5+ years of experience, proficiency in Python/SQL, and cloud platform experience, with travel ~30%.

Qualifications

• 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 SQL to build data pipelines, models, or analytics solutions.
• 2+ years of experience with cloud platforms such as AWS, Azure, or GCP.
• Ability to travel 30% on average.

Responsibilities

• Design, develop, and deploy AI/ML and data science solutions for government/public sector clients.
• Build and maintain data pipelines, model workflows, and production processes for analytics and AI use cases.
• Translate requirements into technical designs, data assets, and components.
• Collaborate with cross-functional teams to integrate data science solutions into client environments.

Skills

Independent work

Communication

Attention to detail

Relationship building

Project leadership

Time management

Interpersonal skills

Deadline orientation

Guidance

Education

Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a technical field

Tools

AWS

Azure

GCP

Databricks

Apache Spark

Docker

Kubernetes

Job description

Deloitte’s AI & Data team seeks an AI & Data Science Engineer III to design, develop, and deploy ML and data science solutions for government and public sector clients in the United States. You will build scalable data pipelines, model workflows, and production processes while collaborating with cross-functional teams to integrate solutions into client environments.

The role requires 5+ years of experience, proficiency in Python/SQL, and cloud platform experience, with travel ~30%.