Senior AI Engineer

West Des Moines, IA, US • Posted 11 days ago • Updated 6 hours ago
Contract Independent
On-site
USD $100,000.00 - 150,000.00 per year
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Job Details

Skills

  • Information Architecture
  • Information Assurance
  • Impact Analysis
  • Systems Architecture
  • Mentorship
  • Machine Learning (ML)
  • Deep Learning
  • Natural Language Processing
  • Computer Vision
  • Predictive Analytics
  • Generative Artificial Intelligence (AI)
  • Systems Design
  • Cloud Computing
  • Amazon Web Services
  • Google Cloud Platform
  • Google Cloud
  • Docker
  • Kubernetes
  • API
  • Microservices
  • Machine Learning Operations (ML Ops)
  • Continuous Integration
  • Continuous Delivery
  • Artificial Intelligence
  • GitHub
  • Microsoft Azure
  • DevOps
  • Jenkins
  • Data Engineering
  • Management
  • Apache Spark
  • Databricks
  • SQL
  • Data Processing
  • Privacy
  • Marketing

Summary

Location: West Des Moines, IA
Salary: $100,000.00 USD Annually - $150,000.00 USD Annually
Description: Our client is currently seeking a Senior AI Engineer

Seeking a highly skilled Senior AI Engineer to lead the design, development, and deployment of advanced AI/ML solutions. The ideal candidate has strong expertise in machine learning, deep learning, LLMs, and scalable AI system architecture, with the ability to mentor junior engineers and drive strategic AI initiatives.

Key Responsibilities

AI/ML Architecture & Development

Lead development of sophisticated machine learning and deep learning models for NLP, computer vision, and predictive analytics.

Architect and optimize LLM based and GenAI solutions, including fine-tuning, RAG pipelines, and custom model development.

Drive feature engineering, experimentation, model tuning, and validation.

AI System Design & Deployment

Build and maintain end to end AI pipelines from data ingestion to production deployment.

Deploy large-scale AI systems on cloud platforms (Azure, AWS, or Google Cloud Platform) using Docker, Kubernetes, and serverless technologies.

Implement scalable API endpoints and microservices for AI model consumption.

MLOps Strategy & Automation

Implement modern MLOps practices-model tracking, versioning, monitoring, drift detection, automated retraining.

Own CI/CD pipelines for AI workloads using GitHub Actions, Azure DevOps, Jenkins, etc.

Data Engineering

Work closely with data engineering teams to build high-quality data pipelines.

Manage large datasets using Spark/Databricks, SQL, and data processing frameworks.

By providing your phone number, you consent to: (1) receive automated text messages and calls from the Judge Group, Inc. and its affiliates (collectively "Judge") to such phone number regarding job opportunities, your job application, and for other related purposes. Message & data rates apply and message frequency may vary. Consistent with Judge's Privacy Policy, information obtained from your consent will not be shared with third parties for marketing/promotional purposes. Reply STOP to opt out of receiving telephone calls and text messages from Judge and HELP for help.

Contact:

This job and many more are available through The Judge Group. Please apply with us today!
Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
  • Dice Id: cxjudgpa
  • Position Id: 1119802
  • Posted 11 days ago

Company Info

About Judge Group, Inc.

The Judge Group, is a leading professional services firm specializing in talent, technology, and learning solutions. We consult, staff, train, and solve. Through our work we make people and organizations better.

Our services are successfully delivered through a network of more than 30 offices across the United States, Canada, and India. The Judge Group is proud to partner with the best and brightest companies in business today, including over 60 of the Fortune 100. We serve organizations in financial services, healthcare, life sciences, insurance, government (including aerospace and defense), manufacturing, and technology and telecommunications.

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