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Mlops Data Engineer Jobs in Nevada (NOW HIRING)

Lead Data Engineer

Las Vegas, NV · On-site

$121K - $162K/yr

Support AI, machine learning, Generative AI, and RAG solutions through scalable data engineering, feature engineering, and MLOps/DataOps practices. * Implement modern engineering standards, including ...

... and HR data domains. * 2+ years of experience operationalizing LLMOps/MLOps capabilities ... We are hiring an AI Engineer to build and operate the data, features, and GenAI foundations that ...

Senior Forward Deployed Engineer- AWS

Las Vegas, NV · On-site

$99K - $137K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Lead Forward Deployed Engineer - AWS

Las Vegas, NV · On-site

$97K - $128K/yr

Data engineering experience with Spark, Airflow/dbt, streaming, data modeling or ML/data science background feature engineering, experimentation or model evaluation * Experience with MLOps/LLMOps ...

Data Scientist

Las Vegas, NV · On-site

$70 - $130/hr

Stay updated on emerging data engineering technologies and trends, evaluating and implementing ... Experience with operationalizing ML models and basic MLOps/CI-CD workflows. * Proficiency with ...

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Mlops Data Engineer information

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

AspectMlops Data EngineerData Scientist
Required SkillsMachine learning deployment, cloud platforms, scripting, data pipelinesStatistical analysis, programming, data visualization, machine learning modeling
CertificationsCloud certifications, ML engineering coursesData science certifications, statistical courses
Work EnvironmentData pipelines, cloud infrastructure, ML deployment systemsData analysis, modeling, research environments
Industry UsageTech companies, AI-focused firms, cloud service providersResearch institutions, analytics firms, tech companies

The main difference between an Mlops Data Engineer and a Data Scientist lies in their focus areas. Mlops Data Engineers specialize in deploying, maintaining, and scaling machine learning models within production environments, emphasizing infrastructure and automation. Data Scientists primarily focus on analyzing data, building models, and deriving insights. Both roles require strong technical skills, but their day-to-day tasks and career paths differ significantly.

Are MLOps Data Engineers in demand?

MLOps Data Engineers are in high demand due to the increasing adoption of machine learning and AI across industries. They are skilled in deploying, managing, and maintaining machine learning models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

What are the key skills and qualifications needed to thrive as an MLOps data engineer?

To thrive as an MLOps Data Engineer, you need a strong background in data engineering, machine learning workflows, and software development, usually supported by a degree in computer science or a related field. Expertise with cloud platforms (such as AWS, GCP, or Azure), CI/CD pipelines, containerization tools (like Docker and Kubernetes), and familiarity with orchestration frameworks are typically required, along with certifications in cloud or data engineering. Strong problem-solving abilities, collaboration, and clear communication set professionals apart in this role. These skills and qualities are critical to efficiently deploying scalable machine learning solutions and ensuring smooth collaboration between data science and engineering teams.

What are some common challenges MLOps data engineers face when deploying machine learning models into production?

MLOps Data Engineers often encounter challenges such as ensuring seamless integration between data pipelines and model serving infrastructure, managing consistent data quality, and automating model retraining and monitoring. Another common hurdle is maintaining scalability and reliability as data volumes grow, and efficiently collaborating with data scientists, software engineers, and DevOps teams. Addressing these challenges requires strong communication skills, familiarity with cloud platforms, and a proactive approach to troubleshooting and automation.

What is an MLOps data engineer?

MLOps Data Engineers are professionals who blend expertise in machine learning (ML), operations (Ops), and data engineering to streamline the deployment and management of ML models in production environments. They design and maintain data pipelines, automate workflows, and ensure the scalability, reliability, and reproducibility of machine learning systems. Their role bridges the gap between data scientists and IT operations, enabling seamless integration of ML models into real-world applications.

What is the salary of MLOps Data Engineer?

The salary of an MLOps Data Engineer typically ranges from $90,000 to $150,000 annually, depending on experience, location, and company size. Professionals with advanced skills in cloud platforms, automation, and machine learning tools may earn higher compensation.
What are popular job titles related to Mlops Data Engineer jobs in Nevada? For Mlops Data Engineer jobs in Nevada, the most frequently searched job titles are:
What cities in Nevada are hiring for Mlops Data Engineer jobs? Cities in Nevada with the most Mlops Data Engineer job openings:

$121K - $162K/yr

Full-time

Dental, Vision, Life, Retirement

Re-posted 13 hours ago


MGM Resorts rating

7.2

Company rating: 7.2 out of 10

Based on 150 frontline employees who took The Breakroom Quiz

11th of 51 rated entertainment


Job description

Las Vegas, Nevada
The SHOW comes alive at MGM Resorts International
Have you ever wondered what it would be like to work in a place full of excitement, diversity, and entertainment? Are you enthusiastic about being a team player in one of the most fascinating industries in the world? At MGM Resorts, we seek individuals like YOU to create unique and show-stopping experiences for our guests.
THE JOB:
The Senior Data Engineer provides technical leadership in the architecture, development, and operational management of enterprise data platforms and integration services that enable data-driven decision-making across the organization. This role is accountable for designing and delivering scalable, secure, and high-performance data solutions, overseeing the full lifecycle of data engineering initiatives from strategy and architecture through implementation, deployment, and production support. The Senior Data Engineer partners with business and technology stakeholders to advance enterprise data capabilities while ensuring compliance with departmental standards and MGM Resorts' policies, practices, and procedures.
THE DAY-TO-DAY:
  • Lead the end-to-end design, development, deployment, and support of scalable, production-grade data integration and engineering solutions.
  • Create and maintain technical designs and documentation aligned with business requirements, data architecture, and enterprise standards.
  • Collaborate with technology leadership to evaluate and implement new tools, technologies, and best practices that improve platform performance and user experience.
  • Partner with Product Management and business stakeholders to deliver data solutions that meet business objectives and design requirements.
  • Build strong cross-functional relationships, effectively communicating technical solutions and driving stakeholder alignment.
  • Mentor junior engineers, guide architectural decisions, and balance technical tradeoffs to deliver reliable and intuitive data products.
  • Drive operational excellence through monitoring, optimization, troubleshooting, and ongoing support of data platforms and services.

THE IDEAL CANDIDATE:
  • 8+ years of experience delivering enterprise data integration, data engineering services, and data platform solutions that support analytics, reporting, operational, and AI-driven business initiatives.
  • Design, develop, and support scalable data pipelines, Lakehouse architectures, and data products that enable analytics, reporting, AI, and machine learning initiatives.
  • Build and optimize enterprise data platforms using Databricks, Spark, Delta Lake, and Azure cloud services, ensuring performance, scalability, reliability, and cost efficiency.
  • Develop and maintain ELT/ETL frameworks, data models, and governance capabilities, including data quality, lineage, observability, security, and compliance.
  • Support AI, machine learning, Generative AI, and RAG solutions through scalable data engineering, feature engineering, and MLOps/DataOps practices.
  • Implement modern engineering standards, including CI/CD, Infrastructure as Code (IaC), testing, monitoring, and automation.
  • Collaborate with business and technology stakeholders to deliver data solutions aligned with enterprise objectives and strategic roadmaps.
  • Provide technical leadership through architecture reviews, mentoring, and the promotion of engineering best practices across the organization.

THE PERKS & BENEFITS:
  • Wellness incentive programs to help you stay healthy physically and mentally
  • Access to company hotel, food and beverage, retail, and entertainment discounts as well as discounts with company partners on things like travel, electronics, online shopping, and more
  • Free meals in our employee dining room
  • Free parking
  • Health & Income Protection benefits (for eligible employees)
  • Professional and personal development through programs and networking opportunities as well as volunteer opportunities in the community

VIEW JOB DESCRIPTION:
https://mgmresorts.marketpayjobs.com/ShowJob.aspx?EntityID=2&jobcode=11494
Pay Range:
The pay range for this role is:
$121,700.00 - $162,200.00
This range represents a good faith estimate of the salary range that MGM reasonably expects to pay for the position upon hire. The actual salary offer will take into account a wide range of factors, including location.
This position is eligible to participate in the Company's incentive plan.
This position is eligible to participate in the Company's equity plan.
Employees in this position are eligible to participate in medical, dental, vision, life insurance, 401(k) plans, and time off plans. Specific program offerings vary by eligibility factors such as geographic location, employment status, and union membership.
Are you ready to JOIN THE SHOW? Apply today!

What MGM Resorts employees say

Pay

Benefits

Hours and flexibility

Workplace

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About MGM Resorts

Sourced by ZipRecruiter

MGM Resorts International (NYSE: MGM) is an S&P 500® global gaming and entertainment company with national and international locations featuring best-in-class hotels and casinos, state-of-the-art meetings and conference spaces, incredible live and theatrical entertainment experiences, and an extensive array of restaurant, nightlife and retail offerings. MGM Resorts creates immersive, iconic experiences through its suite of Las Vegas-inspired brands. The MGM Resorts portfolio encompasses 31 unique hotel and gaming destinations globally, including some of the most recognizable resort brands in the industry. The Company's 50/50 venture, BetMGM, LLC, offers U.S. sports betting and online gaming through market-leading brands, including BetMGM and partypoker, and the Company's subsidiary, LeoVegas AB, offers sports betting and online gaming through market-leading brands in several jurisdictions throughout Europe. The Company is currently pursuing targeted expansion in Asia through the integrated resort opportunity in Japan. Through its “Focused on What Matters: Embracing Humanity and Protecting the Planet” philosophy, MGM Resorts commits to creating a more sustainable future, while striving to make a bigger difference in the lives of its employees, guests, and in the communities where it operates. The global employees of MGM Resorts are proud of their company for being recognized as one of FORTUNE® Magazine's World's Most Admired Companies®

Industry

Hospitality services

Company size

10,000+ Employees

Headquarters location

Paradise, NV, US

Year founded

1962