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Assistant Mlops Jobs (NOW HIRING)

SkilzMatrix Digital

MLOps Engineer

Dallas, TX · Hybrid

$55.50 - $74/hr

Ability to assist DevOps engineers to develop proper Terraform templates used to provision AWS ... MLOps and Data Analytics applications.

Qualysoft

Fur ein Enterprise-KI-Projekt wird ein erfahrener MLOps Engineer gesucht. Ziel ist der Aufbau und ... These tools assist our recruitment team but do not replace human judgment. Final hiring decisions ...

Apple

Machine Learning (MLOps) Engineer

Cupertino, CA · On-site

As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring ... Comfort using LLM-based tools such as Claude, Gemini, or ChatGPT to assist with code generation ...

Apple

Machine Learning (MLOps) Engineer

Cupertino, CA · On-site

$212K - $318K/yr

As an MLOps Engineer, you will be the backbone of our machine learning infrastructure, ensuring ... Leverage AI coding assistants and LLM-based tools (e.g., Claude, Gemini, GitHub Copilot) to ...

Eliassen Group

Python MLOps Engineer

Honolulu, HI · Remote

$65 - $75/hr

Python MLOps Engineer Anywhere Type: Contract Category: Engineer Industry: Retail Workplace Type ... These tools assist our hiring teams in different ways, including but not limited to, assistance in ...

Eliassen Group

Python MLOps Engineer

Concord, NC · Remote

$65 - $75/hr

Python MLOps Engineer Anywhere Type: Contract Category: Engineer Industry: Retail Workplace Type ... These tools assist our hiring teams in different ways, including but not limited to, assistance in ...

Eliassen Group

Python MLOps Engineer

Phoenix, AZ · Remote

$65 - $75/hr

Python MLOps Engineer Anywhere Type: Contract Category: Engineer Industry: Retail Workplace Type ... These tools assist our hiring teams in different ways, including but not limited to, assistance in ...

Eliassen Group

Python MLOps Engineer

Santa Fe, NM · Remote

$65 - $75/hr

Python MLOps Engineer Anywhere Type: Contract Category: Engineer Industry: Retail Workplace Type ... These tools assist our hiring teams in different ways, including but not limited to, assistance in ...

PathAI

Associate Director, MLOps Engineering

Boston, NY · On-site +1

Use of AI assistants (e.g. CoPilot, Cursor, Claude) across platform development lifecycle. It Would ... Expertise in MLOps principles, including model lifecycle management, feature stores, model ...

Eliassen Group

Python MLOps Engineer

Denver, CO · Remote

$65 - $75/hr

Python MLOps Engineer Anywhere Type: Contract Category: Engineer Industry: Retail Workplace Type ... These tools assist our hiring teams in different ways, including but not limited to, assistance in ...

Eliassen Group

Python MLOps Engineer

Lansing, MI · Remote

$65 - $75/hr

Python MLOps Engineer Anywhere Type: Contract Category: Engineer Industry: Retail Workplace Type ... These tools assist our hiring teams in different ways, including but not limited to, assistance in ...

Eliassen Group

Python MLOps Engineer

Montpelier, VT · Remote

$65 - $75/hr

Python MLOps Engineer Anywhere Type: Contract Category: Engineer Industry: Retail Workplace Type ... These tools assist our hiring teams in different ways, including but not limited to, assistance in ...

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Assistant Mlops information

What are Assistant MLOps?

Assistant MLOps are professionals who support the deployment, monitoring, and management of machine learning models in production environments. They assist senior MLOps engineers with tasks like automating workflows, managing data pipelines, maintaining infrastructure, and ensuring model performance. Their role bridges the gap between data science and IT operations, helping organizations scale and maintain their AI solutions efficiently. Assistant MLOps often have knowledge of cloud services, CI/CD tools, and basic programming, and they work closely with data scientists and engineers.

What is the difference between Assistant Mlops vs Data Engineer?

AspectAssistant MlopsData Engineer
Required CredentialsCertifications in cloud platforms, basic scripting, ML toolsComputer science degree, SQL, Python, data architecture
Work EnvironmentCollaborates with ML teams, supports deployment pipelinesBuilds data pipelines, manages databases, processes large datasets
Industry UsageAI/ML projects, cloud-based environmentsData infrastructure, analytics, big data solutions

Assistant Mlops and Data Engineer roles share overlapping skills in cloud platforms and scripting. However, Assistant Mlops focuses on supporting ML deployment and operations, while Data Engineers primarily build and maintain data infrastructure. Both roles are essential in data-driven organizations but serve different functions within the data ecosystem.

What are some typical daily responsibilities for an Assistant MLOps professional?

As an Assistant MLOps professional, you can expect your daily tasks to involve supporting the deployment, monitoring, and maintenance of machine learning models in production environments. This often includes collaborating with data scientists to automate model training and testing workflows, managing cloud-based resources, and ensuring that data pipelines are running smoothly. You'll also help troubleshoot issues related to model performance or infrastructure and assist in implementing best practices for version control and continuous integration. Working closely with both engineering and data teams, you'll play a key role in ensuring that ML models remain reliable and scalable in real-world applications.

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

To thrive as an Assistant MLOps, you need a solid understanding of machine learning fundamentals, programming (especially Python), and experience with cloud platforms; a degree in computer science or a related field is typically preferred. Familiarity with tools like Docker, Kubernetes, CI/CD pipelines, and version control systems (e.g., Git) is important, and certifications in cloud services (AWS, Azure, GCP) can be advantageous. Strong problem-solving, communication, and collaboration skills help you bridge the gap between data science and operations teams. These combined skills ensure efficient deployment, monitoring, and maintenance of machine learning models in production environments.
More about Assistant Mlops jobs
What cities are hiring for Assistant Mlops jobs? Cities with the most Assistant Mlops job openings:
What are the most commonly searched types of Mlops jobs? The most popular types of Mlops jobs are:
What states have the most Assistant Mlops jobs? States with the most job openings for Assistant Mlops jobs include:
What job categories do people searching Assistant Mlops jobs look for? The top searched job categories for Assistant Mlops jobs are:
Assistant Mlops jobs near you
Infographic showing various Assistant Mlops job openings in the United States as of May 2026, with employment types broken down into 76% Full Time, 21% Part Time, 1% Temporary, and 2% Contract. Highlights an 79% Physical, 5% Hybrid, and 16% Remote job distribution.

MLOps Engineer

SkilzMatrix Digital

Dallas, TX • Hybrid

$55.50 - $74/hr

Other

Posted 29 days ago

Job description

CLIENT : PNC

LOCATION: Pittsburgh, PA, Cleveland, OH, Dallas, TX, Birmingham, AL or Phoenix, AZ,).

Its hybrid and 3 days onsite

Technical Skills:

o Amazon SageMaker: In-depth knowledge of SageMaker, including domain setup, configuration, and infrastructure management.

o Cloud Knowledge: A deep understanding of cloud computing concepts, especially related to Amazon Web Services (AWS).

o Infrastructure Design: Ability to design and implement MLOPs cloud solutions, considering scalability, security, and performance.

o Experience: Practical firsthand experience with cloud MLOps and Data Analytics platforms, preferably AWS SageMaker, Glue, EMR, Athena.

o Best Practices: Familiarity with best practices for MLOps and Data Engineering.

o EC2 Instances: Understanding of EC2 instance types and their suitability for AWS SageMaker.

o S3: Proficiency in using Amazon S3 for data storage and SageMaker input/output.

o IAM: Ability to manage permissions and access control using Identity and Access Management.

o Lambda: Knowledge of serverless computing for automating tasks.

o ML & Data Pipelines: Experience with creating data pipelines using AWS SageMaker services integrated with Glue and EMR.

o Monitoring and Troubleshooting: Proficiency in monitoring SageMaker cluster health, identifying bottlenecks, and resolving issues.

o Cost Optimization: Strategies to tag SageMaker resources with an eye on optimizing costs and observability.

Security and Compliance:

o Encryption: Understanding of data encryption at rest and in transit to ensure secure data analytics cloud environment.

o Security Groups and VPC: Knowledge of network security and virtual private clouds.

o Compliance Controls: Ensuring compliance with industry standards and regulations.

Scripting and Automation:

o Language Proficiency: Python, R, Spark, SQL in scripting languages for automating tasks.

o MLOPs: Ability to collaborate with the business to optimize MLOps process, and model lifecycle using SageMaker

Infrastructure as Code (IaC): Ability to assist DevOps engineers to develop proper Terraform templates used to provision AWS analytics infrastructure.

Backup and Disaster Recovery:

o Snapshotting: Familiarity with taking EMR cluster snapshots for backup and recovery.

o High Availability: Implementing strategies for fault tolerance and disaster recovery.

Experience and Certifications:

o Experience: Senior AWS Cloud Engineers must have 3 to 5 years of firsthand experience in designing and building cloud MLOps and Data Analytics applications.

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