Gemini Engineer Jobs

1 job found

1mo ago

Lead Generative AI Data Engineer III

Deloitte Atlanta, GA

Atlanta, GA

1mo ago Closed

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

This position is no longer accepting applications (closed Jul 26, 2026).

Job Description

Location and compensation: This onsite role is based in Atlanta, GA, with a competitive salary range of USD 159,100 to 265,100 per year. It also includes a discretionary annual incentive program. You will join a role that emphasizes leadership in generative AI, collaboration across disciplines, and mentorship of peers.

Responsibilities

Lead the end-to-end lifecycle of machine learning and artificial intelligence solutions for business and client use cases, from design through deployment.
Oversee AI engineering workstreams by assigning tasks, reviewing outputs, and driving quality, timely delivery, and issue resolution across the team.
Build and manage data pipelines, model training workflows, and production‑grade components that support AI enabled products.
Partner with engineers, data scientists, product stakeholders, and business teams to translate requirements into scalable technical solutions and guide key 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 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 deploying machine learning models into production environments.
2+ years leading technical teams, projects, or workstreams supporting AI or ML solution delivery.
1+ year working with AI technologies such as Gemini, Anthropic, and OpenAI.
Active certification or advanced certification in Python, PySpark, PyTorch, and TensorFlow.
Ability to travel approximately 20% based on client needs and 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

Skills for success

Ability to work independently and collaboratively within a team
Effective written and verbal communication
Meticulous attention to detail and quality of work
Proven ability to build and sustain professional relationships
Capacity to lead projects or workstreams
Strong multitasking and prioritization in a fast-paced environment
Professional interpersonal skills and demeanor
Reliability in meeting deadlines
Experience mentoring others and providing clear guidance

Preferred

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

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