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Ai Ml Data Engineer Jobs (NOW HIRING)

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX

$109K - $131K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX · On-site

$98K - $118K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX · On-site

$109K - $131K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

Halliburton

AI/ML Data Engineer - Landmark

Houston, TX

$98K - $118K/yr

SQL and Data Modeling * ETL / Data Pipeline engineering * AI/ML tools and frameworks * Cloud AI services/platforms * Full-stack development (preferably Angular/Node.js or equivalent) * Strong ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site +1

$120K - $160K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$120K - $160K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

SAIC

AI Data Engineer

Fort Belvoir, VA · On-site

$120K - $160K/yr

The AI Data Engineer will design, develop, and maintain data pipelines and architectures to support AI/ML workloads for the Army Intelligence & Security Enterprise (AISE). This role ensures data ...

Mindlance

Data Engineer

Washington, DC · On-site

$129K - $155K/yr

Mindlance is a company seeking a Data Engineer to support programs involving cloud data pipelines ... data quality for AI/ML applications. Responsibilities : • Build continuous, event-driven ...

General Motors

AI/ML Data Scientist (GPSSC)

Warren, MI · On-site

This role requires programming and statistical techniques to solve complex problems and work within ... As an AI/ML Data Scientist, you will be responsible for working with our customers to understand ...

Programmers.io

Lead AI/ML Engineer

Torrance, CA · On-site

$105K - $138K/yr

Fulltime Only 10+ years of experience in AI/ML, data engineering, or cloud architecture Strong hands-on experience with AWS AI/ML services including: SageMaker, Bedrock, Glue, Redshift, Kinesis ...

Stratus

Director, Data & AI/ML

Production-grade ML and AI. Stand up the trust patterns Stratus needs to ship AI workloads to ... Mentor engineers and data scientists. Raise the technical bar through design review, code review ...

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Ai Ml Data Engineer information

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$44.5K

$129.7K

$177.5K

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

As of Jul 3, 2026, the average yearly pay for ai ml data engineer in the United States is $129,716.00, according to ZipRecruiter salary data. Most workers in this role earn between $114,500.00 and $137,500.00 per year, depending on experience, location, and employer.

What are AI/ML Data Engineers?

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.
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Ai Ml Data Engineer jobs near you

AI/ML Data Integration Architect / Data Engineer (AI/ML)

Saransh Inc

Minneapolis, MN • On-site

Contractor

Posted 13 days ago

Job description

Role: Data Integration Architect / Data Engineer (AI/ML)
Location: Minneapolis, MN (Hybrid)
Job Type: Contract
 
Required 10+ years of experience
 
Position Summary:
  • We are looking for a highly skilled AWS + Databricks professional with a strong background in Artificial Intelligence / Machine Learning (AI/ML) and cloud-based data solutions. 
  • The ideal candidate will serve as a Solution Architect, leading technical designs and implementations across data pipelines, ML workflows, and scalable analytics platforms.
 
Responsibilities: 
  • Design and implement end-to-end ML solutions using AWS and Databricks
  • Architect and optimize data lakes / lakehouses using Delta Lake, S3, Glue, and Spark
  • Manage feature engineering, model training, evaluation, and deployment workflows via MLflow or SageMaker
  • Lead the architecture of scalable AI/ML pipelines
  • Collaborate with Data Engineers, MLOps teams, and business stakeholders to translate ML use cases into production systems
  • Enforce best practices for model governance, data security, and CI/CD in ML environments