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18d ago

Lead Generative AI Data Engineer III

Deloitte Atlanta, GA

Atlanta, GA

18d ago

$159k - $265k/yr Full time Manager Ai Workflows Anthropic

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Job Description

Onsite in Atlanta, GA, Deloitte seeks a Lead Generative AI Data Engineer III to design, build, test, and deploy ML and AI solutions, manage AI workstreams, develop data pipelines, and mentor practitioners, with compensation in the USD 159,100 to 265,100 yearly range.

Responsibilities

Lead the design, development, testing, and deployment of machine learning and artificial intelligence solutions for business and client use cases.
Manage AI engineering workstreams by assigning tasks, reviewing deliverables, ensuring quality and timeliness, and resolving issues across the team.
Develop and oversee data pipelines, model training workflows, and production-grade 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 designing, developing, or deploying machine learning, artificial intelligence, or advanced analytics solutions.
3+ years programming in Python, Pyspark, Pytorch, and Tensorflow.
2+ years of technology consulting experience in the Federal Health space.
2+ years of experience deploying machine learning models into production environments.
2+ years of experience leading technical teams, projects, or workstreams delivering AI or ML solution delivery.
1+ years of experience working with AI technologies such as Gemini, Anthropic, and OpenAI.
Active certification or advanced certification in Python, Pyspark, Pytorch, and Tensorflow.
Ability to travel 20% on average based on the work and clients served.
Must be legally authorized 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

Skills for Success

Ability to work independently and collaboratively within a team
Effective written and verbal communication skills
Meticulous attention to detail and quality of work
Ability to build and sustain professional relationships
Capability to lead projects or workstreams
Ability to manage and prioritize multiple tasks in a fast paced environment
Strong interpersonal skills and professional demeanor
Ability to meet deadlines
Ability to mentor and provide clear guidance to others

Preferred

Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative field
Active US Government security clearance
2+ years of experience with large language models, natural language processing, or generative AI solutions
2+ years of experience using containerization and orchestration tools such as Docker or Kubernetes
1+ years supporting model monitoring, model governance, or machine learning operations processes

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