Alexandria, VA · On-site
$77K - $176K/yr
As an MLOps Engineer on our team, you'll use your development experience to streamline our ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Alexandria, VA · On-site
$77K - $176K/yr
As an MLOps Engineer on our team, you'll use your development experience to streamline our ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
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 ...
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 ...
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 ...
$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 ...
$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 ...
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 ...
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 ...
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 ...
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 ...
Dayton, OH · On-site
$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 ...
Dayton, OH · On-site
$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 ...
Dayton, OH · On-site
$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 ...
Dayton, OH · On-site
$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 ...
Fort George G Meade, MD · On-site
$99K - $225K/yr
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 ...
Fort George G Meade, MD · On-site
$99K - $225K/yr
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 ...
Arlington, VA · On-site
$99K - $225K/yr
... MLOps), and software deployment and integration into a variety of different mission environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Arlington, VA · On-site
$99K - $225K/yr
... MLOps), and software deployment and integration into a variety of different mission environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Arlington, VA · On-site
$99K - $225K/yr
... MLOps), and software deployment and integration into a variety of different mission environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Arlington, VA · On-site
$99K - $225K/yr
... MLOps), and software deployment and integration into a variety of different mission environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Aurora, CO · On-site
$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 ...
Aurora, CO · On-site
$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 ...
Mclean, VA · On-site
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 ...
Mclean, VA · On-site
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 ...
Annapolis, MD · On-site
$99K - $225K/yr
... MLOps), and software deployment and integration into a variety of different mission environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Annapolis, MD · On-site
$99K - $225K/yr
... MLOps), and software deployment and integration into a variety of different mission environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Arlington, VA · On-site
$77K - $176K/yr
... MLOps), and software deployment and integration into a variety of different mission environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Arlington, VA · On-site
$77K - $176K/yr
... MLOps), and software deployment and integration into a variety of different mission environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Arlington, VA · On-site
$77K - $176K/yr
Experience with MLOps or AIOps practices, including model versioning, drift detection, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Arlington, VA · On-site
$77K - $176K/yr
Experience with MLOps or AIOps practices, including model versioning, drift detection, and ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Chantilly, VA · On-site
$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 ...
Chantilly, VA · On-site
$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 ...
Dayton, OH · On-site
$119K - $157K/yr
Experience with MLOps or scalable deployment systems, including Docker, Kubernetes, ONNX Runtime ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Dayton, OH · On-site
$119K - $157K/yr
Experience with MLOps or scalable deployment systems, including Docker, Kubernetes, ONNX Runtime ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Alexandria, VA · On-site
$99K - $225K/yr
... MLOps), and software deployment and integration into a variety of different mission environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Alexandria, VA · On-site
$99K - $225K/yr
... MLOps), and software deployment and integration into a variety of different mission environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Alexandria, VA · On-site
$99K - $225K/yr
... MLOps), and software deployment and integration into a variety of different mission environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
Alexandria, VA · On-site
$99K - $225K/yr
... MLOps), and software deployment and integration into a variety of different mission environments ... Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible ...
| 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.
