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Ai Ml Data Engineer Jobs in Normal, IL (NOW HIRING)

Munich Re

Data Scientist

Bloomington, IL · On-site +1

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Act as a liaison between the ML Engineers and Data Science team, managing AI/ML model deployments and conducting testing. * Participate in the development of modeling presentations and present ...

State Farm

Lead Data Scientist - Gen AI

Bloomington, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

This area supports AI/ML solution development for Claims, Marketing, and other internal departments ... Completed master's or PhD in an analytical or engineering field such as statistics, computer ...

State Farm

Lead Data Scientist - Gen AI

Bloomington, IL · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

This area supports AI/ML solution development for Claims, Marketing, and other internal departments ... Completed master's or PhD in an analytical or engineering field such as statistics, computer ...

TEKsystems

AI Machine Learning Engineer

Bloomington, IL · Remote

$50 - $70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

They have very recently developed AI/ML workflows. Some of the APIs provide data and this side of AWS plus the prompt engineering side of it. Lambdas, Terraform code, API on data science side invoke ...

Humana Inc

AI Technical Product Manager

Washington, IL · On-site

$126.30 - $173.70/hr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

In this role, you will collaborate with engineers, data scientists, and business leaders to ... Design and co-develop working prototypes and production-ready components using leading AI/ML tools ...

Kemper

Data Science Manager

Bloomington, IL · Hybrid

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Develops and mentors team members to maintain technical excellence in AI/ML, software engineering ... data science, analytics, or AI environment. * Prior experience mentoring or managing talent.

Triwill Group

Principal Data Engineer, People Data

Washington, IL · On-site

$197 - $270.60/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Okta secures AI by building the trusted, neutral infrastructure that enables organizations to ... The Principal Data Engineer Opportunity Okta's Data Engineering team is on a mission to accelerate ...

Triwill Group

Principal Data Engineer, Product Data

Washington, IL · On-site

$176 - $270/hr

  • Medical

  • Dental

  • Vision

  • Retirement

  • PTO

Okta secures AI by building the trusted, neutral infrastructure that enables organizations to ... The Principal Data Engineer Opportunity Okta's Data Engineering team is on a mission to accelerate ...

1 point system

Senior Data Engineer

Normal, IL · On-site

$103K - $140K/yr

As a Sr. Data Engineer, you will help build and operate the data foundation that powers analytics ... AI-driven insights. Roles and Responsibilities * Design, build, and operate data ingestion ...

Steampunk

Data Scientist

Bloomington, IL · On-site

$125 - $160/hr

Collaborate with AI Developers andLLMOps/MLOpsEngineers to integrate ML models into production environments or decision-support applications. * Build visualizations, dashboards, data stories, and ...

New

State Farm

Lead GenAI Engineer (LLM)

Bloomington, IL · Hybrid

$97K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Engineer Data & Analytics Pipelines -- Build pipelines that feed AI/ML systems with clean, governed, and well-structured data from enterprise sources * Build on Amazon Bedrock AgentCore primitives ...

State Farm

Lead GenAI Engineer (LLM)

Bloomington, IL · On-site

$97K - $128K/yr

  • Medical

  • Dental

  • Vision

  • Retirement

Engineer Data & Analytics Pipelines - Build pipelines that feed AI/ML systems with clean, governed, and well-structured data from enterprise sources * Build on Amazon Bedrock AgentCore primitives ...

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All JobsAi Ml Data Engineer JobsAi Ml Data Engineer Jobs in Normal, IL

Ai Ml Data Engineer information

See Normal, IL salary details

$43.5K

$126.8K

$173.5K

How much do ai ml data engineer jobs pay per year?

As of Aug 16, 2026, the average yearly pay for ai ml data engineer in Normal, IL is $126,819.00, according to ZipRecruiter salary data. Most workers in this role earn between $111,900.00 and $134,400.00 per year, depending on experience, location, and employer.

What is an AI ML data engineer?

AI/ML Data Engineers are professionals who design, build, and maintain data pipelines and infrastructure to support artificial intelligence (AI) and machine learning (ML) applications. They are responsible for collecting, cleaning, and organizing large datasets, ensuring data quality, and enabling data scientists and ML engineers to develop and deploy models efficiently. Their work often involves using programming languages like Python or Scala, big data technologies, and cloud platforms. In essence, AI/ML Data Engineers bridge the gap between raw data and actionable insights in AI and ML projects.

What are the key skills and qualifications needed to thrive as an AI ML data engineer, and why are they important?

To thrive as an AI/ML Data Engineer, you need a strong background in computer science, proficiency in programming languages like Python or Scala, and experience with data modeling, ETL pipelines, and machine learning concepts. Familiarity with big data tools (such as Hadoop, Spark), cloud platforms (AWS, GCP, Azure), and relevant certifications like Google Professional Data Engineer or AWS Certified Machine Learning are highly valuable. Strong problem-solving, collaboration, and communication skills help you work effectively within cross-functional teams and translate business needs into technical solutions. These skills ensure you can efficiently build scalable data architectures and support robust AI/ML solutions that drive business innovation.

What is the difference between Ai Ml Data Engineer vs Data Scientist?

AspectAi Ml Data EngineerData Scientist
Primary FocusBuilding data pipelines, deploying ML models, managing data infrastructureAnalyzing data, developing models, deriving insights
Skills & CertificationsProgramming (Python, SQL), cloud platforms, data engineering toolsStatistics, machine learning, data analysis, Python/R
Work EnvironmentData engineering teams, cloud environments, big data platformsResearch teams, analytics departments, business units

While both roles involve working with data and machine learning, Ai Ml Data Engineers focus on building and maintaining data pipelines and deploying models, whereas Data Scientists primarily analyze data and develop predictive models. The roles often collaborate but serve different functions within data projects.

What are some common challenges faced by AI ML data engineers when working on large-scale machine learning projects?

AI/ML Data Engineers often encounter challenges such as managing and optimizing massive datasets, ensuring data quality and consistency, and maintaining efficient data pipelines. They must also handle the integration of diverse data sources and collaborate closely with data scientists and software engineers to deploy machine learning models into production. Addressing scalability and performance bottlenecks is a frequent part of the role, requiring strong problem-solving skills and familiarity with distributed computing frameworks.

What are popular job titles related to Ai Ml Data Engineer jobs in Normal, IL?

For Ai Ml Data Engineer jobs in Normal, IL, the most frequently searched job titles are:

What job categories do people searching Ai Ml Data Engineer jobs in Normal, IL look for?

The top searched job categories for Ai Ml Data Engineer jobs in Normal, IL are:

What cities near Normal, IL are hiring for Ai Ml Data Engineer jobs?

Cities near Normal, IL with the most Ai Ml Data Engineer job openings:

Ai Ml Data Engineer jobs near you
Infographic showing various Ai Ml Data Engineer job openings in Normal, IL as of August 2026, with employment types broken down into 1% As Needed, 78% Full Time, 17% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $126,819 per year, or $61 per hour.

(US) Product Owner - AI products & projects

Codvo.ai

Texas, IL • Remote

Full-time

Re-posted 29 days ago

Job description

Product Owner - AI products & projects
Experience: 6-8 years | Function: Product & Solutioning

About Us

At Codvo, we are committed to building scalable, future-ready data platforms that power business impact. We believe in a culture of innovation, collaboration, and growth, where engineers can experiment, learn, and thrive. Join us to be part of a team that solves complex data challenges with creativity and cutting-edge technology.


 
Role Summary
You will own the vision, roadmap, and delivery of intelligent, AI-native products & solutions that turn complex enterprise workflows into simple, assistive experiences. You'll operate at the intersection of product strategy, applied AI/ML, Generative AI and platform engineering - translating cutting-edge capabilities into measurable business value.

Key Responsibilities
1) Define the Vision & Roadmap
           Own a problem-first roadmap for AI-powered platforms and assistants across priority journeys.
           Comprehensive market research & prioritize use cases with clear value hypotheses (efficiency, revenue, quality) and Revenue Roadmap.
2) UAT first development
           Run structured discovery (persona, journey mapping, workflow time-and-motion).
           Author detailed UAT document for each feature with detailed acceptance criteria, test cases and evaluation metrics.
3) Product Leadership
           Lead backlog, sprint goals, and release planning with AI/ML, data, and platform engineering.
           Manage dependencies (data readiness, NFRs, MLOps, security, integrations) and unblock teams rapidly.
4) Measure, Learn, Iterate
           Define north-star & guardrail metrics: accuracy, latency, cost per request, containment, adoption, and satisfaction.
           Drive experimentation (A/B), prompt/model iterations, UX refinements, and policy updates.
5) Bridge Business & Technology
           Translate model behavior and system constraints into business-speak (value, risk, ROI).
           Create readable artifacts: PR/FAQ, release notes, change logs, and exec updates.
6) Safety, Compliance & Observability
           Partner with Security/Legal to enforce PII/PHI handling, data residency, SOC2/ISO controls.
           Ensure traceability (prompt versioning, dataset lineage, evaluation reports) and human-in-the-loop in product thinking wherever needed.

Must-Have Qualifications
           2+ years building or shipping AI/ML/GenAI products & solutions (NLP, RAG/semantic search, recommendations, predictive, or automation).
           Practical exposure to LLMs, vector databases, prompt engineering, and cloud AI services (well familiar with Azure OpenAI, AWS Bedrock, GCP Vertex).
           Proven agile delivery using Jira/ Confluence/ Azure DevOps; design collaboration in Figma.
           Strong systems thinking with the ability to simplify complex workflows.
           Strong academic background + MBA (Tier-1) engineering/CS preferred.
 
Nice to Have
           Experience with agentic systems (tool-use, function calling, planners), prompt orchestration, and knowledge retrieval frameworks.
           Familiarity with enterprise integrations, APIs, and event-driven architectures.
           Understanding of MLOps/LLMOps (evaluation harnesses, offline/online tests, drift monitoring, canary releases).

Familiarity with Skills & Tools 
           Product: Roadmapping, PRD/PR-FAQ, OKRs, KPI design, experimentation.
           AI/Tech: RAG patterns, embeddings, retrieval tuning, prompt/policy design, latency/cost trade-offs.
           Governance: Prompt/version control, LLMOps, evaluation dashboards.
           Collab: Azure DevOps, Figma, Lucidchart, PPT, Excel, Word, Git.


Employment Type: FULL_TIME

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