3259 IT & Software Developer jobs in the US
ML Ops Engineer
$97,000 - 149,000
Early Warning Services, LLC
Post Street, San Francisco
$97,000 - 149,000
Requirements
Must:
- Bachelors degree in Computer Science, Engineering, or a related field
- A minimum of 2 years of experience or internship in Data Science, ML Engineering, or MLOps
- Intermediate proficiency in Python programming and familiarity with Data Science and ML tools
- Experience with AWS services
- Knowledge of containerization technologies (Docker, Kubernetes) and CI/CD processes
- Familiarity with MLOps tools such as MLflow, Kubeflow, or similar platforms
- Understanding of data management, distributed computing, and software architecture concepts
- Proven track record of deploying real-time models in production settings
- Successful completion of a background check and drug screening
Responsibilities
- Design, develop, and maintain scalable ML infrastructure and pipelines for model training, deployment, and monitoring
- Enhance orchestration workflows to facilitate efficient model deployment and management
- Monitor and ensure the performance, security, and scalability of ML systems
- Collaborate with data scientists and software engineers to streamline the machine learning lifecycle from development to production
- Create and maintain tools for data analysis, experimentation, model versioning, and artifact management, while supporting governance requirements
- Establish monitoring systems to track and trend model performance and detect model drift in production
- Automate MLOps processes through scripting and development of tools for improved efficiency and reliability
- Optimize ML workflows to enhance efficiency, scalability, and dependability
- Provide technical support and troubleshoot moderately complex issues, escalating when necessary
- Uphold the companys commitment to risk management and safeguarding the integrity and confidentiality of systems and data
- Perform additional duties as may be assigned by supervisors
Description
At Early Warning, we have been a cornerstone of the U.S. financial system for over thirty years, delivering advanced solutions such as Zelle and Paze among others. We collaborate with numerous institutions to broaden access to financial services and safeguard transactions for millions of consumers and small businesses. Our positions, located in Scottsdale, San Francisco, Chicago, or New York, offer a hybrid work model designed to foster collaboration. We offer competitive salaries, a discretionary incentive plan, comprehensive healthcare coverage, a 401(k) retirement plan with a company match, generous paid time off, and support for family planning, among other benefits that prioritize your health and well-being.
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You can find Machine Learning Engineer salaries in the United States here.
How many Machine Learning Engineer jobs are in the United States?
Currently, there are 3259 ML, AI openings. Check also: TensorFlow jobs, Python jobs, Computer-Vision jobs - all with salary brackets.
Is the US a good place for Machine Learning Engineers?
The US is one of the best countries to work as a Machine Learning Engineer. It has a vibrant startup community, growing tech hubs and, most important: lots of interesting jobs for people who work in tech.
Which companies are hiring for Machine Learning Engineer jobs in the United States?
Transport-Bourassa, Allied Technical Solutions, KUBRA, D3 Security Management Systems, GINGER Telecom, Gatestone & Co. Inc, ID Cosmetic clinic among others, are currently hiring for ML, AI roles in the United States.
The company with most openings is Lockheed Martin Corporation as they are hiring for 278 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.
The company with most openings is Lockheed Martin Corporation as they are hiring for 278 different Machine Learning Engineer jobs in the United States. They are probably quite committed to find good Machine Learning Engineers.