Machine Learning Mlops Engineer Remote Jobs
Compilers/Mlops Internship Jobs
By Anarchy (YC W23)
At New York, NY, United States
Full Time Junior Data Science / Machine Learning Support Engineer -- Remote
By Visionary Innovative Technology Solutions LLC
At United States
Machine Learning Engineer (Open To Us Remote)
By Cargill
At Minneapolis, MN, United States
Python Software Deployment Engineer, Mlops
By Ford Motor Company
At United States
Machine Learning Engineer (Remote)
By Cognizant
At Dallas, TX, United States
Manager Ii Learning - Remote
By Elevance Health
At Chesapeake, VA, United States
Manager Ii Learning - Remote
By Elevance Health
At Walnut Creek, CA, United States
Manager Ii Learning - Remote
By Elevance Health
At Costa Mesa, CA, United States
Manager Ii Learning - Remote
By Elevance Health
At St Louis, MO, United States
Manager Ii Learning - Remote
By Elevance Health
At Virginia Beach, VA, United States
Manager Ii Learning - Remote
By Elevance Health
At Augusta, GA, United States
Manager Ii Learning - Remote
By Elevance Health
At Grand Prairie, TX, United States
Manager Ii Learning - Remote
By Elevance Health
At Greater Jefferson City Area, United States
Manager Ii Learning - Remote
By Elevance Health
At Denver, CO, United States
Manager Ii Learning - Remote
By Elevance Health
At Nashville, TN, United States
Mlops Engineer Jobs
By L4B Software
At Santa Clara, CA, United States
Director, Machine Learning Science (Remote)
By BioSpace
At South San Francisco, CA, United States
Sales Director - Disruptive Mlops/Aiops Business
By Zearch
At San Francisco Bay Area, United States
Jr Machine Learning Engineer (Hybrid - Remote, Utah)
By Deseret Digital Media
At Salt Lake City, UT, United States
Applied Behavioral Science Junior Machine Learning Engineer (Remote - Home Based Worker)
By Allstate
At , Chicago, Il
$93,000 - $126,000 a year
Are you looking for an exciting opportunity to use your Machine Learning and MLOps skills to help drive innovation? We are looking for a talented Machine Learning Engineer to join our remote team and help us develop cutting-edge solutions. You will have the chance to work on a variety of projects, from developing ML models to deploying them in production. If you are passionate about ML and MLOps, this is the perfect job for you!
Overview The Machine Learning Mlops Engineer Remote is responsible for developing and deploying machine learning models and pipelines in a production environment. The engineer will work closely with data scientists, software engineers, and other stakeholders to ensure that the models are deployed in a secure and reliable manner. The engineer will also be responsible for monitoring and maintaining the models and pipelines in production. Detailed Job Description The Machine Learning Mlops Engineer Remote will be responsible for developing and deploying machine learning models and pipelines in a production environment. This includes developing and deploying models in a secure and reliable manner, monitoring and maintaining models and pipelines in production, and troubleshooting any issues that arise. The engineer will also be responsible for creating and maintaining documentation related to the models and pipelines, as well as providing technical support to other stakeholders. Skill Requirements• Experience with machine learning and deep learning frameworks such as TensorFlow, Keras, and PyTorch
• Experience with DevOps and CI/CD tools such as Jenkins, Ansible, and Kubernetes
• Knowledge of cloud computing platforms such as AWS, GCP, and Azure
• Knowledge of scripting languages such as Python, Bash, and PowerShell
• Knowledge of containerization technologies such as Docker and Kubernetes
• Knowledge of data engineering and data science principles
• Ability to work independently and collaboratively in a fast-paced environment
Qualifications
• Bachelor’s degree in Computer Science, Engineering, or a related field
• 5+ years of experience in software engineering, DevOps, or a related field
• Experience with machine learning and deep learning frameworks
• Experience with DevOps and CI/CD tools
• Knowledge of cloud computing platforms
• Knowledge of scripting languages
• Knowledge of containerization technologies
• Knowledge of data engineering and data science principles
Knowledge
• Knowledge of machine learning and deep learning frameworks
• Knowledge of DevOps and CI/CD tools
• Knowledge of cloud computing platforms
• Knowledge of scripting languages
• Knowledge of containerization technologies
• Knowledge of data engineering and data science principles
Experience
• 5+ years of experience in software engineering, DevOps, or a related field
• Experience with machine learning and deep learning frameworks
• Experience with DevOps and CI/CD tools
• Experience with cloud computing platforms
• Experience with scripting languages
• Experience with containerization technologies
• Experience with
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