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Mlops Data Engineer Jobs in Chicago, IL (NOW HIRING)

Alpha Consulting Corp.

Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Alpha Consulting Corp. is seeking a highly skilled MLOps Engineer / Python Developer with expertise in building and maintaining scalable data and machine learning pipelines. The role involves ...

Accord Technologies Inc.

MLOPS Engineer

Chicago, IL · On-site

MLOPS Engineer Location: Chicago, IL Duration: 12+ months Position type: W2 contract Required Skills f or the MLOps Engineer: - Bachelor's plus 9+ years of experience, Master ...

The Hartford

Data Engineer

Chicago, IL · Hybrid

$100K - $151K/yr

We use the latest data technologies, software engineering practices, MLOPs, Agile delivery frameworks, and are passionate about building well-architected and innovative solutions that drive business ...

Donato Technologies Inc

Databricks Data Engineer

Chicago, IL · On-site

$118K - $141K/yr

Required Skills & Experience · Total Experience: 10+ years in data engineering or related roles ... MLOps practices. Education & Soft Skills · Bachelor's or Master's degree in Computer Science ...

Bank of America

Data Engineer - Python/AI

Addison, IL · On-site

$114K - $137K/yr

Identifies, defines, and documents data engineering requirements, communicating required ... Proven experience productionizing ML models using MLflow and enterprisegrade MLOps frameworks

ADDSOURCE

Data Science/MLOps Engineer

Chicago, IL · On-site

$118K - $141K/yr

Data Science/MLOps Engineer Experience: - Min 8+ Years Location: - Chicago, IL We are seeking a highly skilled Senior Engineer with strong expertise in Python, Data Science, AI/ML, and AWS cloud ...

Grindr

Senior Staff MLOps Engineer

Chicago, IL · On-site

$190K - $315K/yr

As a Staff MLOps Engineer, you will build and own the infrastructure, tooling, and scalable systems ... You'll architect and maintain the platforms that power data ingestion, feature computation, model ...

Huntington

MLOps Automation Senior Lead Engineer

Chicago, IL · On-site +1

$107K - $140K/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 ...

Capgemini

Lead Data Engineer - GCP AI Architect

Chicago, IL · On-site

$144K - $190K/yr

AI Platform & MLOps - Establish enterprise MLOps and LLMOps frameworks. - Design automated model ... Skills and experience * 8+ years of experience in cloud architecture, software engineering, or data ...

Socket.dev

Data Engineering Lead (Hybrid)

Chicago, IL · On-site

$190 - $220/hr

Familiarity with data science workflows, ML model lifecycle, and MLOps concepts * Expertise in data engineering -- including model design, testing strategy, incremental patterns, and layer boundary ...

Co-Sourcing Partners

GCP AI/ML Engineer

Chicago, IL · On-site

Job Title: GCP AI/ML Engineer Duration: 6 months Contract to hire Location: Chicago is the ... MLOps, and cloud-native ML architectures, with a passion for turning data science models into ...

Sabert

Lead Data & AI Engineer

Chicago, IL · Hybrid

$112K - $135K/yr

The Data & AI Platform Engineer at Sabert Corporation is a hybrid role that plays a strategic and ... Understanding of MLOps practices, including model lifecycle management, deployment, monitoring, and ...

Sabert Corporation

Lead Data & AI Engineer

Chicago, IL · On-site

$112K - $135K/yr

Description The Data & AI Platform Engineer at Sabert Corporation is a hybrid role that plays a ... Understanding of MLOps practices, including model lifecycle management, deployment, monitoring, and ...

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All JobsMlops Data Engineer JobsMlops Data Engineer Jobs in Chicago, IL

Mlops Data Engineer information

See Chicago, IL salary details

$45.8K

$133.6K

$182.9K

How much do mlops data engineer jobs pay per year?

As of Aug 24, 2026, the average yearly pay for mlops data engineer in Chicago, IL is $133,627.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $141,600.00 per year, depending on experience, location, and employer.

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 Chicago, IL?

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

What job categories do people searching Mlops Data Engineer jobs in Chicago, IL look for?

The top searched job categories for Mlops Data Engineer jobs in Chicago, IL are:

What cities near Chicago, IL are hiring for Mlops Data Engineer jobs?

Cities near Chicago, IL with the most Mlops Data Engineer job openings:

Mlops Data Engineer jobs near you
Infographic showing various Mlops Data Engineer job openings in Chicago, IL as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution, with an average salary of $133,627 per year, or $64.2 per hour.

Data Engineer

Alpha Consulting Corp.

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Re-posted 5 days ago

Job description

Job Summary:
Alpha Consulting Corp. is seeking a highly skilled MLOps Engineer / Python Developer with expertise in building and maintaining scalable data and machine learning pipelines. The role involves developing and optimizing data pipelines, collaborating with Data Scientists, and ensuring system reliability and security compliance.
Responsibilities:
• Develop, maintain, and optimize data and model-serving pipelines using Kubeflow and Spark
• Implement feature engineering workflows for machine learning models
• Deploy, test, and monitor ML applications in cloud environments
• Collaborate with Data Scientists and cross-functional teams to productionize models
• Identify and fix bugs, vulnerabilities, and performance issues
• Handle feature requests and enhancements for existing systems
• Support and manage CI/CD pipelines and DevOps processes
• Ensure system scalability, reliability, and security compliance
Qualifications:
Required:
• Strong programming experience in Python
• Hands-on experience with AWS (or similar cloud platforms)
• Expertise in Kubernetes and Kubeflow (or similar orchestration/workflow tools)
• Experience with Spark, Pandas, NumPy for data processing
• Must have previous client experience working for this customer in the past 5 years
Preferred:
• Solid understanding of MLOps, ML lifecycle, and feature engineering
• Familiarity with CI/CD tools (Jenkins or similar)
• Experience in debugging, performance tuning, and vulnerability remediation
Company:
Alpha Consulting Corp. has been exceeding expectations in the IT, pharmaceutical, and clinical staffing business since 1994. Founded in 1994, the company is headquartered in East Brunswick, USA, with a team of 201-500 employees. The company is currently Growth Stage.
Alpha Consulting logo

About Alpha Consulting

Sourced by ZipRecruiter

Alpha Consulting is headquartered in East Brunswick, NJ, US and operates in the consulting sector. As a high-visibility consultant in the IT and pharmaceutical services industry, they deliver comprehensive project, process, and applications management solutions to businesses across these sectors. Empowering their clients to achieve their objectives through innovative and cost-effective strategies is the core belief of Alpha. Their mission is to offer experienced consulting and IT services that help clients attain their business objectives by seamlessly bridging the gap between business goals and technology implementation.

Industry

Recruiting and staffing services

Company size

201 - 500 Employees

Headquarters location

East Brunswick, NJ, US

Year founded

1994

Social media

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