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Data Engineer Ml Jobs in Nevada (NOW HIRING)

Sr Data Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

... ML initiatives. Responsibilities : • Design, build, and maintain real-time and batch data ... Required : • Bachelor's degree required in Computer Science, Data Science, Engineering ...

Software Engineer, ML Dev Enablement

Las Vegas, NV · On-site

$123K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development. What We're Looking For: * BS or MS in ...

Software Engineer, ML Dev Enablement

Las Vegas, NV · On-site +1

$123K - $163K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development. What We're Looking For: * BS or MS in ...

Data Engineer

Nellis Air Force Base, NV · On-site +1

$108K - $130K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Share Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and ... ML capabilities into production workflows or operator tooling, such as LLM enabled assistants ...

Data Engineer

Nellis Air Force Base, NV · On-site

$108K - $130K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artificial ... ML capabilities into production workflows or operator tooling, such as LLM enabled assistants ...

Data Engineer

Las Vegas, NV · On-site

$61K - $141K/yr

  • Medical

  • Life

  • Retirement

  • PTO

Data Engineer The Opportunity: Ever-expanding technology like IoT, machine learning, and artifi cia ... ML capabilities into production workflows or operator tooling, such as LLM enabled assistants ...

Data Engineer

Nellis Air Force Base, NV · On-site

$108K - $130K/yr

  • Medical

  • Life

  • Retirement

  • PTO

As a data engineer, you know that organizing data can yield pivotal insights when it's gathered ... ML capabilities into production workflows or operator tooling, such as LLM enabled assistants ...

Data Engineer

Henderson, NV · On-site

$104K - $125K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Sparks, NV · On-site

$117K - $140K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Las Vegas, NV · On-site

$109K - $131K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Data Engineer

Carson City, NV · On-site

$112K - $134K/yr

Must-Have Skills 3+ years of data engineering experience -- pipelines, ETL, data modeling in ... ML storage formats: Parquet, HDF5, JSON Lines

Sr Data Engineer

Las Vegas, NV

$97K - $131K/yr

This role partners closely with engineering, analytics, and business teams to deliver scalable data solutions that support analytics, BI, and future AI/ML use cases. Critical Skill Priorities (In ...

Data Engineer II

Las Vegas, NV

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications.

Data Engineer II

Las Vegas, NV

$110K - $132K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications.

Data Engineer II

Reno, NV

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications.

Data Engineer II

Reno, NV

$114K - $137K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

About the Role We are seeking a Data Engineer II to join our Global Data Platform & Engineering ... Exposure to AI/ML workflows or data preparation for machine learning and generative AI applications.

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Data Engineer Ml information

What does a data engineer ML do?

A Data Engineer ML (Machine Learning) is responsible for designing, building, and maintaining the data pipelines and infrastructure necessary for machine learning applications. They clean, process, and organize large datasets to ensure data quality and accessibility for data scientists and ML engineers. In addition, they may work on deploying machine learning models to production environments and optimizing data workflows for efficiency and scalability.

What are the key skills and qualifications needed to thrive as a data engineer ML?

To thrive as a Data Engineer ML, you need strong programming skills (especially in Python or Scala), knowledge of data modeling, and a solid foundation in database technologies, typically supported by a degree in computer science or a related field. Familiarity with big data frameworks (like Spark or Hadoop), cloud platforms (AWS, GCP, or Azure), and ETL tools, as well as relevant certifications, is highly beneficial. Excellent problem-solving abilities, teamwork, and clear communication help you collaborate with data scientists and stakeholders effectively. These skills are essential for building robust data pipelines and infrastructure that enable scalable, high-quality machine learning solutions.

How do data engineer ML roles typically collaborate with data scientists and machine learning engineers on projects?

Data Engineer ML professionals work closely with data scientists and machine learning engineers by building and maintaining robust data pipelines, ensuring clean and reliable datasets are readily available for modeling and analysis. They often participate in meetings to understand model requirements, help optimize data storage for performance, and support the deployment of machine learning models into production environments. Effective collaboration involves continuous communication to troubleshoot data issues, implement data validation, and scale solutions as project needs evolve. This teamwork ensures that data-driven projects move efficiently from experimentation to deployment.

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

AspectData Engineer MlData Scientist
Required CredentialsBachelor's in CS, Data Engineering certificationsBachelor's/Master's in CS, Data Science certifications
Work EnvironmentBuilding data pipelines, managing databasesAnalyzing data, creating models
Employer & Industry UsageTech companies, finance, healthcareResearch institutions, tech firms, finance

Data Engineer Ml focuses on developing and maintaining data infrastructure and pipelines, while Data Scientists analyze data and build predictive models. Both roles often collaborate but serve different functions within data teams.

What cities in Nevada are hiring for Data Engineer Ml jobs?

Cities in Nevada with the most Data Engineer Ml job openings:

Software Engineer, ML Dev Enablement

Motional

Las Vegas, NV • On-site, Remote

Full-time

Re-posted 21 days ago


Job description

Mission Summary:

We are looking for a Software Engineer to join our ML Infrastructure: Dev Enablement Team. Our mission is to build a frictionless development environment that empowers our researchers and engineers to rapidly innovate on deep learning models for autonomous driving.

We manage a high-scale Cloud Development Environment (CDE) platform that provides standardized, high-performance workspaces for ML development. As we evolve, in this role, you'll spearhead high-impact initiatives: designing multi-cloud setups to maximize GPU availability, driving deep-level model optimization, and building next-generation Agentic AI toolings. You will play a pivotal role in ensuring our training ecosystem remains cutting-edge, resilient and highly efficient.

What You'll Be Doing:

  • Build Agentic AI Tooling: Design, develop, and enhance Agentic AI tools and systems to automate workflows, streamline the ML lifecycle, and empower developer productivity.
  • Scale Core Infrastructure: Drive the continuous development of our core ML infrastructure and existing CDE platform, leveraging Kubernetes to build robust, high-scale distributed solutions.
  • System-Level ML Optimization: Partner closely with ML Researchers to profile and optimize distributed training jobs (PyTorch/DDP) and data pipelines. Focus on resolving system-level bottlenecks-such as data loading (I/O), memory management, and network communication overhead-to maximize GPU utilization and training throughput.
  • Collaborate Cross-Functionally: Partner with ML engineers and data scientists to understand their complex needs, bridging the gap between underlying infrastructure and model development.

What We're Looking For:

  • BS or MS in Computer Science or related field
  • Strong knowledge of software engineering principles and distributed systems.
  • Strong proficiency with Python or Go or C++
  • Experience with building on AWS services or other Cloud platforms and container orchestration using Kubernetes.
  • Experience with the various stages of the ML development lifecycle
Bonus Points:
  • Hands-on experience with ML model profiling and performance optimization for distributed training.
  • Experience managing or working with high-performance compute resources (GPUs).
  • Experience with ML frameworks such as PyTorch or Ray.
  • Experience building, integrating, or enhancing Agentic AI systems and LLM-driven developer tools.

 We encourage a hybrid schedule with in-office time at our Las Vegas location to support collaboration, or this role can be fully remote.