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Mlops Jobs in Bothell, WA (NOW HIRING)

Zortech Solutions

MLOps Engineer

Bellevue, WA · Remote

Job Title MLOps Engineer to work on AWS GovCloud Databricks Projected Start Date05-09-2025 Projected End Date10-31-2025 Position Type Contract Location : Bellevue, WA Remote Work100% Primary ...

Amazon

Sr. Software Development Engineer, MLOPs

Bellevue, WA · On-site

$138K - $182K/yr

We are looking for a Senior Software Development Engineer with deep expertise in machine learning operations to join the Data & Intelligence Foundation (DIF) team within Amazon. You will design ...

Kanak Elite Services Inc

Sr ML Platform Manager

Seattle, WA · On-site

$144K - $190K/yr

Implement MLOps practices to streamline the lifecycle of machine learning models. Collaboration: Collaborate with cross-functional teams, including product management, data analytics, and IT, to ...

Amazon

Sr. Software Development Engineer, MLOPs

Bellevue, WA · On-site

$138K - $182K/yr

We are looking for a Senior Software Development Engineer with deep expertise in machine learning operations to join the Data & Intelligence Foundation (DIF) team within Amazon. You will design ...

LVT

Staff ML/LLM Ops Engineer

Seattle, WA

$213K - $272K/yr

MLOps: Own the model lifecycle end to end: standardized packaging, a model CI/CD path, a serving layer with stable, versioned contracts, automated deployment and rollback, and monitoring and drift ...

Alaska Airlines

Manager, AI

Seatac, WA

$149K - $224K/yr

Guide the adoption of MLOps practices for both traditional and GenAI model deployment, versioning, monitoring, and retraining. * Stay current with advancements in LLMs (Large Language Models ...

Alaska Airlines

Manager, AI

Seatac, WA · On-site

$149K - $224K/yr

Guide the adoption of MLOps practices for both traditional and GenAI model deployment, versioning, monitoring, and retraining. * Stay current with advancements in LLMs (Large Language Models ...

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Mlops information

What is the difference between Mlops vs Data Engineer?

AspectMlopsData Engineer
Primary FocusDeploying, managing, and monitoring machine learning models in productionBuilding and maintaining data pipelines and infrastructure for data processing
Skills & CertificationsMachine learning, DevOps, cloud platforms, scriptingSQL, ETL, data warehousing, programming
Work EnvironmentCollaborates with data scientists, software engineers, and DevOps teamsWorks with data analysts, data scientists, and software developers
Industry UsageAI/ML projects, production environments, cloud servicesData infrastructure, analytics, big data processing

While both Mlops and Data Engineers work closely with data and cloud technologies, Mlops specialists focus on deploying and maintaining machine learning models in production, ensuring their scalability and reliability. Data Engineers primarily build data pipelines and infrastructure to support data analysis and ML workflows. Understanding these distinctions helps organizations assign the right roles for their AI and data projects.

What are the key skills and qualifications needed to thrive as an MLOps Engineer, and why are they important?

To thrive as an MLOps Engineer, you need a strong background in machine learning, software engineering, and DevOps principles, often supported by a degree in computer science or a related field. Proficiency with tools like Docker, Kubernetes, CI/CD pipelines, cloud platforms (e.g., AWS, Azure, GCP), and ML frameworks is typically required, along with certifications in cloud or DevOps technologies. Strong problem-solving skills, collaboration, and communication abilities help MLOps professionals excel in cross-functional teams and manage complex workflows. These skills are vital for reliably deploying, monitoring, and scaling machine learning models in production environments, ensuring efficiency and robustness.

Is MLOps a good career path?

MLOps is a growing field that combines machine learning, software engineering, and operations to deploy and maintain AI models efficiently. It offers high demand for skills in cloud platforms, automation, and data management, making it a promising career choice for those interested in AI infrastructure. Professionals in MLOps often work with tools like Docker, Kubernetes, and CI/CD pipelines, and typically require a strong understanding of both machine learning and software development.

What are some common challenges faced by MLOps professionals when deploying machine learning models to production?

MLOps professionals often encounter challenges such as ensuring reproducibility of models, managing version control for both code and data, and maintaining model performance over time. Handling continuous integration and deployment (CI/CD) pipelines for ML models can be complex, especially when dealing with large datasets and evolving algorithms. Additionally, coordinating with data scientists, software engineers, and DevOps teams to streamline workflows and monitor models post-deployment are key responsibilities that require both technical expertise and strong collaboration skills.

What engineers make $500,000?

Senior machine learning operations (MLOps) engineers with extensive experience, specialized skills in cloud platforms, automation, and deployment often reach or exceed $500,000 annually in total compensation. High-level roles in tech companies or those with leadership responsibilities and advanced certifications tend to offer such salaries.

Which 3 jobs will survive AI?

For MLOps professionals, roles such as data scientists, machine learning engineers, and AI infrastructure engineers are expected to persist as AI adoption grows. These jobs require specialized skills in model development, deployment, and maintenance that complement automation. Continuous learning and expertise in tools like Kubernetes, cloud platforms, and version control are essential for long-term viability.

What is a $900,000 AI job?

A $900,000 AI job typically refers to a high-level position in artificial intelligence, such as senior machine learning engineer or AI director, often requiring advanced skills in data science, deep learning, and cloud platforms. These roles usually involve leadership, strategic planning, and extensive experience, and they may include bonuses or stock options that contribute to the total compensation. Such salaries are rare and generally found in large tech companies or specialized AI firms.

What are MLOps?

MLOps, short for Machine Learning Operations, is a set of practices that combines machine learning, DevOps, and data engineering to automate and streamline the deployment, monitoring, and maintenance of machine learning models in production. MLOps aims to improve collaboration between data scientists and operations teams, ensuring that models are robust, scalable, and easily updated. It covers the entire machine learning lifecycle, from data preparation to model training, deployment, and ongoing monitoring. By implementing MLOps, organizations can accelerate the development and deployment of reliable machine learning solutions.
What are popular job titles related to Mlops jobs in Bothell, WA? For Mlops jobs in Bothell, WA, the most frequently searched job titles are:
What job categories do people searching Mlops jobs in Bothell, WA look for? The top searched job categories for Mlops jobs in Bothell, WA are:
What cities near Bothell, WA are hiring for Mlops jobs? Cities near Bothell, WA with the most Mlops job openings:
Mlops jobs near you
Infographic showing various Mlops job openings in Bothell, WA as of June 2026, with employment types broken down into 67% Full Time, and 33% Contract. Highlights an 67% In-person, and 33% Remote job distribution.
MLOps Engineer

MLOps Engineer

Zortech Solutions

Bellevue, WA • Remote

Contractor

Posted 18 days ago

Job description

Job Title  MLOps Engineer to work on AWS GovCloud Databricks
 
Projected Start Date05-09-2025
Projected End Date10-31-2025
Position Type Contract
Location : Bellevue, WA
Remote Work100%
Primary SkillsAWS Cloud Formation
 
Job Description:
  • MLOps Engineer to work on AWS GovCloud Databricks
  • Bachelor’s degree in computer science, Engineering, Applied Mathematics or related field
  • 4-6 years of strong experience with AWS Gov Cloud environments / Export Control / FedRAMP environments
  • Overall, 8-10 years of solid experience in the areas of data engineering / machine learning / data science.
  • 4-6 years of strong experience with the following machine learning topics: classification, clustering, optimization, deep learning, NLP with Python in a programming intensive role.
  • 6-8 years of strong experience in Python / PySpark coding
  • 4-6 years of industry experience with popular ML frameworks such as Keras, Tensorflow, PyTorch, HuggingFace Transformers and libraries (like scikit-learn, etc.).
  • 4-6 years of experience with ClassicAI/GenAI ML Model Operationalization in Production.
  • 4 to 6 years of strong experience in Azure Databricks / AWS Databricks, specializing in End-to-End MLOps architecture, with practical expertise in Databricks Unity Catalog, MosaicAI, serverless solutions, MLOps stacks, and Lakehouse monitoring, among other areas.
  • 4-6 years of industry experience with distributed computing frameworks such as Spark, Kubernetes ecosystem, etc.
  • 4-6 years of experience with CI/CD Dev Ops process.
  • Effective communication skills and succinct articulation
  • Experience working with remote and global teams and cross team collaboration
ZorTech logo

About ZorTech

Sourced by ZipRecruiter

The Zor Group is a globally operating conglomerate spanning multiple industries across four countries. Established in 2009 with a mission to make a positive impact, Zor initially began as a staffing organization and naturally evolved into the technology sector. In 2018, ZorTech was introduced through a strategic partnership with the Sunwill Group. Plans for international expansion were initiated in 2020, leading to successful entry into the US market. Alongside an impressive 70% year-over-year growth rate, we also established an offshore delivery team in the USA. With the incorporation of IT Services, ZorTech now offers end-to-end solutions, ranging from top-level talent sourcing to managing large-scale projects. Our organization currently operates in four countries, including Canada, the USA, the Dominican Republic, and India.

Industry

Recruiting and staffing services

Company size

11 - 50 Employees

Headquarters location

Houston , TX, US

Social media

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