AI and Data Science Engineer II - Security Clearance Required

Deloitte is hiring an AI and Data Science Engineer to design, develop, and deploy data and AI solutions supporting government client missions. The role builds scalable data pipelines, machine-learning models, and AI applications, and integrates and documents these solutions with client and internal teams.

Responsibilities

• Design and build data pipelines, machine-learning models, and AI-enabled applications using Python, Structured Query Language (SQL), and cloud-based services
• Translate mission and business requirements into technical designs, data models, and implementation plans
• Develop, test, deploy, and monitor scalable analytics and artificial intelligence solutions using software engineering and machine learning operations practices
• Collaborate with product, engineering, analytics, and client stakeholders to integrate data and AI capabilities into platforms and business processes
• Document solution architecture, model performance, data lineage, and operational procedures to support delivery, governance, and sustainment

Preferred

• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or Information Systems
• 1+ year of experience deploying models through managed cloud services on Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• 2+ years of experience using Databricks or Palantir for data engineering or analytics workflows
• 1+ year of experience with natural language processing, large language models, or generative artificial intelligence
• 1+ year of experience implementing machine learning operations (MLOps) practices for model monitoring, versioning, and deployment
• 1+ year of experience delivering data, analytics, or artificial intelligence solutions for federal, state, local government, or public higher education clients
• 1+ year of experience deploying models through managed cloud services on Amazon Web Services, Microsoft Azure, or Google Cloud Platform.
• 2+ years of experience using Databricks or Palantir for data engineering or analytics workflows.
• 1+ year of experience with natural language processing, large language models, or generative artificial intelligence.
• 1+ year of experience implementing machine learning operations (MLOps) practices for model monitoring, versioning, and deployment.
• 1+ year of experience delivering data, analytics, or artificial intelligence solutions for federal, state, local government, or public higher education clients.
• AWS
• Microsoft Azure
• Google Cloud Platform
• Managed Cloud Model Deployment
• Databricks
• Palantir
• Data Engineering
• Analytics Workflows
• Natural Language Processing
• Large Language Models
• Generative AI
• MLOps
• Model Monitoring
• Model Versioning
• Model Deployment
• Data Solutions
• Analytics Solutions
• AI Solutions
• Government Sector Experience
• Public Higher Education Experience

Benefits

• Eligible to participate in a discretionary annual incentive program; an award, if any, depends on various factors, including individual and organizational performance.
• Opportunities to build new skills, take on leadership opportunities, and connect and grow through mentorship.
• On-the-job learning experiences and formal development programs.

Company

• Audit, tax, consulting, and financial advisory services
• London, England, GBR
• https://www2.deloitte.com/
• Founded in 1845
• 10001+ employees

Qualifications

• 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
• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or Information Systems
• 3+ years of experience developing data pipelines, machine-learning models, or artificial intelligence applications using Python and Structured Query Language (SQL)
• 1+ year of experience using Git and continuous integration/continuous delivery pipelines to deploy software, data, or machine-learning solutions
• Active Secret Security Clearance or higher
• Must be legally authorized to work in the United States without the need for employer sponsorship, now or at any time in the future
• Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or Information Systems
• 1+ year of experience deploying models through managed cloud services on Amazon Web Services, Microsoft Azure, or Google Cloud Platform
• 2+ years of experience using Databricks or Palantir for data engineering or analytics workflows
• 1+ year of experience with natural language processing, large language models, or generative artificial intelligence
• 1+ year of experience implementing machine learning operations (MLOps) practices for model monitoring, versioning, and deployment
• 1+ year of experience delivering data, analytics, or artificial intelligence solutions for federal, state, local government, or public higher education clients
• 3+ years of experience developing data pipelines, machine-learning models, or artificial intelligence applications using Python and Structured Query Language (SQL).
• 1+ year of experience using Git and continuous integration/continuous delivery pipelines to deploy software, data, or machine-learning solutions.

Required skills

• Active Secret Security Clearance, Amazon Web Services (AWS), Artificial Intelligence, Continuous Integration/Continuous Delivery (CI/CD), Data Pipelines, Databricks, Generative Artificial Intelligence, Git, Google Cloud Platform (GCP), Government Data and AI Solutions, Large Language Models (LLMs), Machine Learning, Machine Learning Operations (MLOps), Microsoft Azure, Natural Language Processing (NLP), Palantir, Python, SQL

Experience

• 3+ years