Our global professional community boasts 60,000 full- and part-time alumni - and counting. In ... Review and validate competencies and learning objectives for the MLOps / AI Platform Engineer ...
Our global professional community boasts 60,000 full- and part-time alumni - and counting. In ... Review and validate competencies and learning objectives for the MLOps / AI Platform Engineer ...
AI Engineer
Reston, VA · On-site
$99K - $225K/yr
Bachelor's degree Nice If You Have: * Experience collaborating with MLOps, DevOps, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
AI Engineer
Reston, VA · On-site
$99K - $225K/yr
Bachelor's degree Nice If You Have: * Experience collaborating with MLOps, DevOps, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Lead Instructor: MLOps / AI Platform Engineering
$11K - $15K/wk
Our global professional community boasts 60,000 full- and part-time alumni - and counting. In ... Experience as an AI Platform or Azure ML engineer at a major tech firm (Microsoft, Google, etc.) is ...
Lead Instructor: MLOps / AI Platform Engineering
$11K - $15K/wk
Our global professional community boasts 60,000 full- and part-time alumni - and counting. In ... Experience as an AI Platform or Azure ML engineer at a major tech firm (Microsoft, Google, etc.) is ...
Applied AI Engineer (Part-Time, Remote - U.S.) Innovation is at the heart of what we do. At ... Experience deploying AI applications using modern MLOps practices. * Experience evaluating and ...
Applied AI Engineer (Part-Time, Remote - U.S.) Innovation is at the heart of what we do. At ... Experience deploying AI applications using modern MLOps practices. * Experience evaluating and ...
Applied AI Engineer
Reston, VA · On-site
$99K - $225K/yr
... MLOps engineers to deliver world class solutions, including processing data and information at a ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Applied AI Engineer
Reston, VA · On-site
$99K - $225K/yr
... MLOps engineers to deliver world class solutions, including processing data and information at a ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
AI/ML Engineer, Senior
Dayton, OH · On-site +1
$99K - $225K/yr
You will contribute end-to-end, spanning data processing, model development, MLOps, and integration ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
AI/ML Engineer, Senior
Dayton, OH · On-site +1
$99K - $225K/yr
You will contribute end-to-end, spanning data processing, model development, MLOps, and integration ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
AI/ML Engineer, Mid
Dayton, OH · On-site +1
$77K - $176K/yr
Experience with ML engineering and MLOps, including model versioning, CI/CD for ML, monitoring ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
AI/ML Engineer, Mid
Dayton, OH · On-site +1
$77K - $176K/yr
Experience with ML engineering and MLOps, including model versioning, CI/CD for ML, monitoring ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
AI/ML Engineer, Mid
Dayton, OH · On-site +1
$77K - $176K/yr
Experience with ML engineering and MLOps, including model versioning, CI/CD for ML, monitoring ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
AI/ML Engineer, Mid
Dayton, OH · On-site +1
$77K - $176K/yr
Experience with ML engineering and MLOps, including model versioning, CI/CD for ML, monitoring ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
AI and ML Engineer, Mid
Dayton, OH · On-site +1
$77K - $176K/yr
Experience with ML engineering and MLOps, including model versioning, CI/CD for ML, monitoring ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
AI and ML Engineer, Mid
Dayton, OH · On-site +1
$77K - $176K/yr
Experience with ML engineering and MLOps, including model versioning, CI/CD for ML, monitoring ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Artificial Intelligence & Machine Learning Engineer
Arlington, VA · On-site +1
$77K - $176K/yr
Knowledge of MLOps principles and the design and implementation of machine learning algorithms ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Artificial Intelligence & Machine Learning Engineer
Arlington, VA · On-site +1
$77K - $176K/yr
Knowledge of MLOps principles and the design and implementation of machine learning algorithms ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
AI Engineer
Springfield, VA · On-site
$100/hr
Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices * Strong analytical and ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...
Quick apply
AI Engineer
Springfield, VA · On-site
$100/hr
Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices * Strong analytical and ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...
AI Engineer
Springfield, VA · On-site
$100/hr
Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices * Strong analytical and ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...
Quick apply
AI Engineer
Springfield, VA · On-site
$100/hr
Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices * Strong analytical and ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...
AI Engineer
Springfield, VA · On-site
$100/hr
Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices * Strong analytical and ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...
Quick apply
AI Engineer
Springfield, VA · On-site
$100/hr
Familiarity with cloud platforms (AWS, Azure, or GCP) and MLOps practices * Strong analytical and ... Flexible part-time commitment * High-impact federal mission work * Opportunity to apply senior AI ...
AI/ML Engineer
Fort George G Meade, MD · On-site +1
Knowledge of ML or MLOps orchestration tools such as, Airflow, Kubeflow, or MLflow * Knowledge of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
AI/ML Engineer
Fort George G Meade, MD · On-site +1
Knowledge of ML or MLOps orchestration tools such as, Airflow, Kubeflow, or MLflow * Knowledge of ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Software Engineer
Aurora, CO · On-site +1
$86K - $198K/yr
Experience with leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Software Engineer
Aurora, CO · On-site +1
$86K - $198K/yr
Experience with leveraging MLOps platforms and Machine Learning (ML) CI/CD workflows to manage ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Pre-Sales Solutions Engineer
Philadelphia, PA · On-site +1
Knowledge of AIOps, MLOps, ModelOps, or DataOps patterns * Possession of excellent interpersonal ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Pre-Sales Solutions Engineer
Philadelphia, PA · On-site +1
Knowledge of AIOps, MLOps, ModelOps, or DataOps patterns * Possession of excellent interpersonal ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Frontier AI Research Engineer, Lead
Mclean, VA · On-site
$103K - $136K/yr
Experience with cloud-native AI infrastructure, MLOps, or large-scale model deployment * Experience ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Frontier AI Research Engineer, Lead
Mclean, VA · On-site
$103K - $136K/yr
Experience with cloud-native AI infrastructure, MLOps, or large-scale model deployment * Experience ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
DevSecOps Engineer
Knoxville, TN · On-site
... AI/MLOps). Most of the resources working on AmSC only have a part-time allocation to the project ... programming experience. ● Ability to communicate effectively and work well in a team environment ...
DevSecOps Engineer
Knoxville, TN · On-site
... AI/MLOps). Most of the resources working on AmSC only have a part-time allocation to the project ... programming experience. ● Ability to communicate effectively and work well in a team environment ...
Data Engineer
Chantilly, VA · On-site +1
$77K - $176K/yr
Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Data Engineer
Chantilly, VA · On-site +1
$77K - $176K/yr
Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Data Engineer
Chantilly, VA · On-site +1
$77K - $176K/yr
Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Data Engineer
Chantilly, VA · On-site +1
$77K - $176K/yr
Knowledge of the ML lifecycle and concepts to develop an MLOps ecosystem * Top Secret clearance ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Part Time Mlops Engineer information
What is the difference between Part Time Mlops Engineer vs Part Time Data Scientist?
| Aspect | Part Time Mlops Engineer | Part Time Data Scientist |
|---|---|---|
| Required Credentials | Certifications in cloud platforms, ML pipelines, scripting | Statistics, programming, data analysis certifications |
| Work Environment | Cloud environments, DevOps tools, ML deployment | Data analysis platforms, research environments |
| Employer & Industry Usage | Tech companies, startups, AI firms | Research institutions, tech companies, finance |
Part Time Mlops Engineers focus on deploying, maintaining, and optimizing machine learning models in production environments, often working with cloud and DevOps tools. In contrast, Part Time Data Scientists analyze data to extract insights, build models, and support decision-making. While both roles require technical skills, MLOps emphasizes deployment and operationalization, whereas Data Science centers on analysis and modeling.
More about Part Time Mlops Engineer jobs
What are the most commonly searched types of Mlops Engineer jobs? The most popular types of Mlops Engineer jobs are:
What job categories do people searching Part Time Mlops Engineer jobs look for? The top searched job categories for Part Time Mlops Engineer jobs are:
$60 - $75/hr
Full-time, Part-time
Re-posted 18 days ago
Job description
Since 2011, General Assembly has transformed tens of thousands of careers through pioneering, experiential education in today's most in-demand skills. As featured in The Economist, Wired, and The New York Times, GA offers training in web development, data, design, business, and more, both online and at campuses around the world. Our global professional community boasts 60,000 full- and part-time alumni - and counting. In addition to fostering career growth for individuals, GA helps employers cultivate top tech talent and spur innovation by transforming their teams through strategic learning. More than 21,000 employees at elite companies worldwide have honed their digital fluency with our upskilling and reskilling initiatives. GA has also been recognized as one of Deloitte's Technology Fast 500, and Fast Company has dubbed us leaders in World-Changing Ideas as well as the #1 Most Innovative Company in Education.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.
Company: General Assembly
Client: Confidential - Customer Success Reskilling
Start: ASAP
Hours: 15 to 20 hours a week, for 6 to 7 weeks (for a grand total of 90 to 140 hours) (Ends by July, 2026) (Most of your hours will be asynchronous - you will be vetting and iterating with our team - not building content from scratch yourselves.)
Compensation Range: $60 - $75 per hour
Location: Remote
About the engagement
General Assembly is building a reskilling program for clients' Customer Success and Account Management professionals transitioning into MLOps and AI Platform Engineering roles. You'll serve as the subject matter expert for Pathway 3, validating the technical accuracy of pipeline content, governance frameworks, monitoring exercises, and async assets designed to bring CSAMs up to speed on taking AI systems from pilot to production at scale.
What you'll do
What you bring
Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.
United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.
GA is at the leading edge of creating practical solutions to one of the most pressing challenges of our time - the future of work. As recognized by The World Economic Forum, BCG, the OECD and more, these are big challenges to which only a few companies are offering real solutions. In this role, you'll be speaking every day to corporate leaders who rely on GA to help them apply these solutions to their workforce of the future.
Company: General Assembly
Client: Confidential - Customer Success Reskilling
Start: ASAP
Hours: 15 to 20 hours a week, for 6 to 7 weeks (for a grand total of 90 to 140 hours) (Ends by July, 2026) (Most of your hours will be asynchronous - you will be vetting and iterating with our team - not building content from scratch yourselves.)
Compensation Range: $60 - $75 per hour
Location: Remote
About the engagement
General Assembly is building a reskilling program for clients' Customer Success and Account Management professionals transitioning into MLOps and AI Platform Engineering roles. You'll serve as the subject matter expert for Pathway 3, validating the technical accuracy of pipeline content, governance frameworks, monitoring exercises, and async assets designed to bring CSAMs up to speed on taking AI systems from pilot to production at scale.
What you'll do
- Review and validate competencies and learning objectives for the MLOps / AI Platform Engineer pathway
- Validate technical accuracy of instructional slide content covering ML pipelines, model deployment, monitoring, and governance
- Review async assets including prompt-alongs and self-paced exercises for technical correctness and appropriate difficulty level for the learner population (experienced customer-facing professionals, not engineers)
- Participate in one structured SME review gate (approximately 1 week, early June)
- Provide a single round of revision feedback for the LED to implement before QA
What you bring
- 7+ years in software or data engineering with 3+ years in MLOps or ML platform roles in production
- Hands-on experience with ML pipelines, model deployment, monitoring, and governance at scale
- Strong DevOps and CI/CD fundamentals applied to ML workloads
- Python proficiency, data engineering foundations, and Azure cloud infrastructure fluency
- Familiarity with Azure ML, AI Foundry platform engineering patterns, and model lifecycle management
- AZ-900, AI-900, and DP-100 minimum; AI-102 preferred
- Former AI Platform or Azure ML engineer with Microsoft, Google, or similar company is a strong plus
Unless otherwise noted, remote positions can be performed from the following approved General Assembly operating countries.
United States of America (states of operation may vary), Canada (provinces of operation may vary), United Kingdom, Australia, and Singapore.