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Ai Ml Data Engineer Jobs (NOW HIRING)

AI/ML Data Scientist Location: New York, NY Role Summary: Develop and evaluate machine learning and ... Conduct data profiling, feature engineering, model evaluation using stratified validation

Senior AI/ML Engineer Experience: 11+ Years Job Type: Contract (W2 only) We are looking for a ... Bachelor's/Master's degree in Computer Science, AI/ML, Data Science, or related field.

New

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Senior ML Data Engineer, MLO

Cupertino, CA · On-site

$68.75 - $91/hr

Do you believe Machine Learning and AI can change the world? We truly believe it can! We are the ML ... We're looking for an exceptional software & data engineer who is passionate about Apple products ...

Senior Data Architect

$68.75 - $92/hr

Define architectural patterns for AI/ML data sourcing, feature engineering, and model operationalization. * Stay current on emerging AI/ML data architecture trends and proactively recommend ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Project Overview We are currently hiring AI/ML Data Contributors to support a range of active and upcoming projects across the United States. In this role, you will participate in tasks that help ...

Showing results 41-60

Ai Ml Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

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 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 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.
More about Ai Ml Data Engineer jobs

What cities are hiring for Ai Ml Data Engineer jobs?

Cities with the most Ai Ml Data Engineer job openings:

What states have the most Ai Ml Data Engineer jobs?

States with the most job openings for Ai Ml Data Engineer jobs include:

Infographic showing various Ai Ml Data Engineer job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 11% Part Time, and 4% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $129,716 per year, or $62.4 per hour.

AI/ML Data Scientist

Marencor

New York, NY • On-site

Contractor

Re-posted 13 days ago


Job description

 AI/ML Data Scientist

 Location: New York, NY

Role Summary:

Develop and evaluate machine learning and GenAI models to drive clinical, operational, or financial insights from healthcare data.

 

Responsibilities:

  • Train supervised and unsupervised models using Python (XGBoost, LightGBM, sklearn, PyTorch)
  • Conduct data profiling, feature engineering, model evaluation using stratified validation
  • Implement model explainability (SHAP, LIME) and bias audits
  • Monitor model drift, fairness, and clinical relevance over time
  • Fine-tune or prompt LLMs for use cases such as summarization or information extraction
  • Build and evaluate multi-agent workflows using GenAI and frameworks like LangChain
  • Design prompt libraries and benchmark hallucination rates, sensitivity to input phrasing
  • Track experiments using MLflow, Weights & Biases

 

Required Qualifications:

  • 3–5 years in applied data science or machine learning
  • Experience with Snowflake SQL, Python ML ecosystem, healthcare data

 

Preferred Qualifications:

  • Exposure to Epic Clarity data or unstructured clinical notes
  • Hands-on with transformer models, LLM APIs, and embedding-based retrieval