ZipRecruiter

Log In

1

Mlops Data Engineer Jobs in Ohio (NOW HIRING)

Flexjet

AI Data Engineer

Cleveland, OH

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data ... MLOps practices and tools Experience working with unstructured data (text, images, etc ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data ... MLOps practices and tools · Experience working with unstructured data (text, images, etc.) · ...

Flexjet

AI Data Engineer

Cleveland, OH · On-site

$111K - $133K/yr

POSITION SUMMARY Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data ... MLOps practices and tools Experience working with unstructured data (text, images, etc ...

Judge Group, Inc.

Data Engineer Level 2

Cincinnati, OH · On-site

$60 - $70/hr

Our client is currently seeking a Data Engineer Level 2 Required Skills * 3+ years of applied data ... Experience with MLOps practices including workflow orchestration, model monitoring, reproducibility ...

EssilorLuxottica Group

Data & ML Engineer

Mason, OH

$107K - $129K/yr

Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust deployment and operationalization of analytics and AI solutions. This role complements the Applied Data ...

EssilorLuxottica

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust deployment and operationalization of analytics and AI solutions. This role complements the Applied Data ...

Essilor

Data & ML Engineer

Mason, OH · On-site

$107K - $129K/yr

Proficiency with CI/CD pipelines, DevOps, and MLOps practices is expected to ensure robust deployment and operationalization of analytics and AI solutions. This role complements the Applied Data ...

Huntington

MLOps Automation Senior Lead Engineer

Columbus, OH · On-site +1

$100K - $131K/yr

The MLOps Automation Engineering Senior Lead will lead a team responsible for building and ... Streamline the data, analytics, and model development lifecycle by identifying pain points and ...

next page

Showing results 1-20

All JobsMlops Data Engineer JobsMlops Data Engineer Jobs in Ohio

Mlops Data Engineer information

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 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 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 ML models using tools like Docker, Kubernetes, and cloud platforms, making their expertise highly sought after in data-driven organizations.

Is MLOps required for data engineers?

MLOps is increasingly important for data engineers involved in deploying and maintaining machine learning models, as it encompasses practices like automation, monitoring, and version control. While not always mandatory, knowledge of MLOps tools such as Docker, Kubernetes, and CI/CD pipelines enhances a data engineer's ability to support scalable and reliable ML systems.

What are popular job titles related to Mlops Data Engineer jobs in Ohio?

For Mlops Data Engineer jobs in Ohio, the most frequently searched job titles are:

What job categories do people searching Mlops Data Engineer jobs in Ohio look for?

The top searched job categories for Mlops Data Engineer jobs in Ohio are:

What cities in Ohio are hiring for Mlops Data Engineer jobs?

Cities in Ohio with the most Mlops Data Engineer job openings:

Mlops Data Engineer jobs near you

AI Data Engineer

Flexjet

Cleveland, OH

$111K - $133K/yr

Full-time

Posted 16 days ago

Flexjet rating

8.2

Company rating: 8.2 out of 10

Based on 24 frontline employees who took The Breakroom Quiz

20th of 67 rated aviation services

Job description

POSITION SUMMARY

Flexjet is seeking a detail-oriented AI Data Engineer to build and maintain data infrastructure that powers machine learning and AI systems. In this role, you will work closely with data scientists, ML engineers, and software teams to ensure high-quality, reliable, and scalable data pipelines for AI applications.

DUTIES & RESPONSIBILITIES

Design, build, and maintain data pipelines for AI and machine learning workflows

Collect, clean, and preprocess structured and unstructured data

Develop and manage datasets for model training, validation, and inference

Collaborate with ML engineers and data scientists to support model development

Ensure data quality, integrity, and availability across systems

Optimize data storage and retrieval for performance and scalability

Implement data governance, security, and compliance best practices

Monitor and troubleshoot data pipeline issues

REQUIRED SKILLS & QUALIFICATIONS

Bachelors degree in Computer Science, Data Engineering, Information Systems, or related field (or equivalent experience)

Strong programming skills in Python and/or SQL

Understanding of data engineering concepts (ETL/ELT, data modeling, data warehousing)

Familiarity with machine learning workflows and data requirements

Experience with data processing tools (e.g., Pandas, Spark)

Knowledge of relational and non-relational databases

Basic understanding of cloud platforms (AWS, Azure, or Google Cloud)

PREFERRED QUALIFICATIONS

Experience supporting machine learning or AI projects

Familiarity with big data technologies (e.g., Apache Spark, Kafka, Hadoop)

Experience with data pipeline orchestration tools (e.g., Airflow, Prefect)

Knowledge of MLOps practices and tools

Experience working with unstructured data (text, images, etc.)

Understanding of data governance and privacy standards

Strong analytical and problem-solving skills

Attention to detail and data quality

Ability to work with cross-functional teams

Good communication skills

Ability to manage multiple data workflows

What Flexjet employees say

Pay

Benefits

Hours and flexibility

Workplace

Get the full story on Breakroom

Apply