ConsultNet Technology Services and Solutions
MLOPS Engineer
ConsultNet Technology Services and Solutions, Salt Lake City, Utah, United States, 84193
Job Title and Location
MLOPS Engineer
- Salt Lake City, UT Employment Details
Contract-to-Hire: $65-$75 per hour Role Overview
We are seeking a skilled MLOPS Engineer to join our growing team. The primary responsibilities include deploying, monitoring, and maintaining machine learning models within software development pipelines, ensuring operational stability and effectiveness. The role involves collaboration with data scientists, software engineers, and stakeholders to integrate models into systems and workflows. Key duties include automating deployment, implementing monitoring solutions, and optimizing model performance to meet business goals. Essential Functions
Model Deployment:
Deploy machine learning models into production environments successfully. Monitoring:
Establish monitoring systems to track model performance and health. Maintenance:
Regularly update and maintain models for optimal performance. Collaboration:
Work closely with data scientists to understand and meet model requirements. Automation:
Automate deployment and monitoring processes to streamline workflows. Scalability:
Ensure models can handle increased loads and data volumes. Security:
Implement security measures to protect models and data. Documentation:
Maintain documentation for deployed models and processes. Troubleshooting:
Identify and resolve issues with deployed models. Performance Optimization:
Continuously improve model accuracy and efficiency. Methodology:
Utilize agile practices to develop business solutions. Additional Information
We are part of ConsultNet and its family of companies, including Tekne, SaltClick, TechBridge, and OmniMedia. With over 25 years of experience, we provide diverse technology roles across the nation, fostering rewarding career opportunities. Our commitment to equality and inclusivity is reflected in our Equal Opportunity Employer policy. We welcome applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, veteran status, or other protected class.
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MLOPS Engineer
- Salt Lake City, UT Employment Details
Contract-to-Hire: $65-$75 per hour Role Overview
We are seeking a skilled MLOPS Engineer to join our growing team. The primary responsibilities include deploying, monitoring, and maintaining machine learning models within software development pipelines, ensuring operational stability and effectiveness. The role involves collaboration with data scientists, software engineers, and stakeholders to integrate models into systems and workflows. Key duties include automating deployment, implementing monitoring solutions, and optimizing model performance to meet business goals. Essential Functions
Model Deployment:
Deploy machine learning models into production environments successfully. Monitoring:
Establish monitoring systems to track model performance and health. Maintenance:
Regularly update and maintain models for optimal performance. Collaboration:
Work closely with data scientists to understand and meet model requirements. Automation:
Automate deployment and monitoring processes to streamline workflows. Scalability:
Ensure models can handle increased loads and data volumes. Security:
Implement security measures to protect models and data. Documentation:
Maintain documentation for deployed models and processes. Troubleshooting:
Identify and resolve issues with deployed models. Performance Optimization:
Continuously improve model accuracy and efficiency. Methodology:
Utilize agile practices to develop business solutions. Additional Information
We are part of ConsultNet and its family of companies, including Tekne, SaltClick, TechBridge, and OmniMedia. With over 25 years of experience, we provide diverse technology roles across the nation, fostering rewarding career opportunities. Our commitment to equality and inclusivity is reflected in our Equal Opportunity Employer policy. We welcome applicants regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, genetic information, disability, veteran status, or other protected class.
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