ZipRecruiter

Log In

1

Mlops Data Engineer Jobs (NOW HIRING)

MedReview

Data Engineer

Manhattan, NY · Remote

$105K - $115K/yr

MLOps Integration: Collaborate with Data Scientists to implement automated CI/CD pipelines for ... ML Engineering: Familiarity with ML frameworks (PyTorch, TensorFlow) and MLOps tools (MLflow ...

Accenture Federal Services

Data Engineer

Suitland, MD · On-site

$123.30K - $148.10K/yr

Data Engineer We are looking for a skilled and passionate Data Engineer to join our team. You will ... ML Integration / MLOps : Support the implementation, deployment, and scaling of machine learning ...

eTeam

Data Engineer

Cupertino, CA

$141.30K - $169.60K/yr

Title: Data Engineer Location: Cupertino, CA/ Austin, CA Duration: 6 Months The Data Foundations ... Exposure to MLOps and GenAI/RAG pipelines. * Hands-on experience with LLMs (prompt engineering ...

Diverse Lynx

Data Engineer

San Francisco, CA

$134.90K - $162K/yr

Data Engineer Location: San Francisco, California We are looking for an experienced Data Science ... Familiarity with cloud ecosystems (Azure, AWS, or GCP) and MLOps practices is a plus. Strong ...

NavitasPartners

Python, PyTorch, LangChain, MLOps * Data Engineering: Databricks, Snowflake, Synapse, BigQuery * Cloud/Data Architecture alignment across AWS, Azure, GCP * AI Governance: Responsible AI and ...

ORBIS

Data Engineer

Manhattan, NY

$126.20K - $151.60K/yr

Support ML workflows (MLOps) with clean, structured, high-quality data * Work closely with product, data, and engineering teams What They're Looking For * Proven experience building and maintaining ...

W. R. Berkley

Databricks Data Engineer

Manassas Park, VA

$113K - $135.70K/yr

MLOps & ML-Enabled Data Pipelines * Partner with data scientists and data engineers to create feature pipelines, model training pipelines, and production scoring pipelines. * Deploy and ...

next page

Showing results 1-20

People also search for

All JobsMlops Data Engineer Jobs

Mlops Data Engineer information

See salary details

$44.5K

$129.7K

$177.5K

How much do mlops data engineer jobs pay per year?

As of Jun 1, 2026, the average yearly pay for mlops 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 the key skills and qualifications needed to thrive as an MLOps Data Engineer, and why are they important?

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 are MLOps Data Engineers?

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 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.

More about Mlops Data Engineer jobs
What cities are hiring for Mlops Data Engineer jobs? Cities with the most Mlops Data Engineer job openings:
What states have the most Mlops Data Engineer jobs? States with the most job openings for Mlops Data Engineer jobs include:
What job categories do people searching Mlops Data Engineer jobs look for? The top searched job categories for Mlops Data Engineer jobs are:
Mlops Data Engineer jobs near you

AI Engineer - GenAI, Autonomous Agents & Data Platforms - AIRLHV

NavitasPartners

San Jose, CA • Hybrid

$40/hr

Full-time

Posted 4 days ago

Job description

AI Engineer – GenAI, Autonomous Agents & Data Platforms

Location: US / Canada (Remote/Hybrid)
Type: Contract / Full-Time

Overview:

We are hiring an AI Engineer specializing in Generative AI and agentic systems to drive enterprise innovation across data and AI platforms.

Key Responsibilities:

  • Build and scale AI agents and GenAI-driven applications
  • Develop pipelines integrating AI with enterprise data platforms
  • Ensure system scalability, performance, and governance
  • Collaborate with engineering and business stakeholders

Required Skills:

  • Strong background in AI/ML and GenAI technologies
  • Cloud experience (AWS, Azure, GCP)
  • Hands-on implementation of AI solutions

Nice to Have / Coverage:

  • ML/AI Engineering: Python, PyTorch, LangChain, MLOps
  • Data platforms: Databricks, Snowflake, Synapse, BigQuery
  • Experience working with cloud/data platform architects
  • Exposure to AI governance and compliance practices

For more details reach at resumes@navitassols.com.