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Mlops Data Engineer Jobs in Kentucky (NOW HIRING)

$180 - $240/hr

We are seeking a hands-on Principal AWS Data Platform & MLOps Architect to design and build a ... Engineers. KEY RESPONSIBILITIES: Architect and Build the Shared Platform #J-18808-Ljbffr

$140 - $190/hr

Prepare data, engineer features, develop and evaluate models, and help operationalize solutions in ... data issues. Support model deployment, MLOps practices, cloud resource management, and change ...

New

$141 - $211/hr

Roles and Responsibilities As our Staff Software Engineer, Engineering Data Platform, you will ... Experience with AI infrastructure, MLOps, or agent-facing data platforms. Salary Range: $141,000 ...

New

$140 - $190/hr

In close collaboration with data scientists you'll own our production models, ensuring optimal ... Applies their ML / MLOPS knowledge to suggest new patterns, tools, approaches to improve the team ...

$180 - $235/hr

... data usage policies. Our primary goal is to deliver a smooth and hassle-free experience for ... MLOps and automation: Deep experience implementing MLOps, CI/CD pipelines, and automation for ...

$152 - $209/hr

Familiarity with one or more: data engineering (ETL/ELT, medallion architecture, streaming), data science/ML (model training, MLOps), or SQL analytics * Strong presentation and demo skills -- you ...

New

Head of Data Science

London, KY · On-site

$128.45 - $148.73/hr

Scale the team in line with what the roadmap demands - hiring across ML engineering, data science, and MLOps * Develop the existing team, create career paths, and set technical and cultural standards ...

$170 - $213/hr

Implement MLOps best practices for model training, testing, deployment, and monitoring. * Partner with data engineering teams to build and maintain clean, secure, and reliable data pipelines.

$78 - $176/hr

... programming languages for data analysis Experience analyzing structured and unstructured data ... Experience with GenAI tech and MLOps * Active TS/SCI clearance; willingness to take a polygraph ...

$88 - $124/hr

Excellent software development skills with proficiency in Python, TensorFlow/PyTorch, and experience with containerized deployments and MLOps practices.* **Data Pipeline Engineering:** Extensive ...

$110 - $170/hr

... data, software engineering, and artificial intelligence . We work with industry-leading ... Familiarity with cloud platforms (AWS, GCP, or Azure) and MLOps tools. * Experience with data ...

New

$140 - $190/hr

... data ingestion and feature engineering through model serving and monitoring. * Lead model evaluation, A/B testing, and ongoing performance monitoring across deployed systems. * Partner with MLOps and ...

New

$153 - $210/hr

As a Forward Deployed Engineer (FDE) you will work with customers to build and productionize ... MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data ...

$182 - $250/hr

Guide strategic customers as they implement transformational big data projects including ... Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant ...

New

$182 - $250/hr

Guide strategic customers as they implement transformational big data projects including ... Working knowledge of MLOps, ML/AI models and AI APIs * Design and deployment of performant ...

$182 - $250/hr

As a Sr. Forward Deployed Engineer (FDE) you will work with customers to build and productionize ... MLOps, ML/AI models and AI APIs * Design and deployment of performant production end-to-end data ...

$195 - $260/hr

Programming Languages: High proficiency in Python and R for data manipulation and modeling, as well ... development (MLOps). Active industry certifications (e.g., AWS Certified Data Analytics, AWS ...

$140 - $190/hr

PhD in Computer Science, Electrical Engineering, Statistics, Mathematics, business analytics = 2 ... Experience with MLOps and cloud-based AI/ML platforms (e.g., GCP, Azure, AWS), including scalable ...

New

Showing results 21-40

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 Kentucky?

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

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

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

Principal AWS Data Platform & ML Ops Architect (Remote, Continental United States)

International Consulting Associates, Inc

On-site

$180 - $240/hr

Other

Posted 4 days ago


Job description

About ICA, Inc.

International Consulting Associates, Inc. is a rapidly growing company, located in the D.C./Metro area. We were founded in 2009 to assist government clients with evaluating and achieving their objectives. We have become a trusted advisor helping our clients by offering cutting-edge innovation and solutions to complex projects. Our small company has grown significantly, and we're overjoyed at the opportunity to expand yet again!

We are results-focused and have a proven track record supporting federal agencies and large government services primes in three main areas: Research and Data Analysis, Advanced-Data Science, and Strategic Services. We currently support multiple analytics and research programs across HHS.

At ICA, we believe our success starts with our people. We foster a collaborative "one team" environment where work-life balance isn't just talked about - it's prioritized. We're building dynamic, highly skilled teams in a welcoming and supportive atmosphere. If you're passionate about using your technical expertise to make a difference, we want to talk to you.

We are looking for a Principal AWS Data Platform & ML Ops Architectto join our growing team!

ABOUT THE ROLE:

We are seeking a hands-on Principal AWS Data Platform & MLOps Architect to design and build a shared data and AI platform supporting multiple products and projects.

Your mandate will be to establish a unified AWS-native platform, including shared data models, pipelines, services, and serving layers that can support document intelligence, semantic and multimodal search, RAG applications, data science projects, dashboards, and analytics. You will define the technical direction and build the platform capabilities through hands-on development and by guiding other Data Engineers.

KEY RESPONSIBILITIES: Architect and Build the Shared Platform
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