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Machine Learning Operations Engineer
Full Time, Columbia, MD, US
5 days ago, Requisition ID: 1305
Salary Range: $120,000.00 To $160,000.00 Annually
Rekor Systems, Inc., (NASDAQ: REKR) is a trusted global authority in the development and implementation of intelligent infrastructure focused on addressing critical challenges across public safety, transportation management, and urban mobility markets. We believe that the intelligent infrastructure industry is at the epicenter of converging forces that will drive profound changes in the way government agencies, law enforcement and businesses operate and collaborate today and in the future. With our ‘Rekor One’ roadway intelligence engine as our foundation, we collect and transform raw data into actionable insights that gives governments and businesses a comprehensive picture of roadways, vehicles, pedestrians, traffic, incidents, while providing an intuitive environment that makes collaboration across teams and organizations easy. Rekor leverages computer vision, machine learning, and big data analytics to drive AI-enabled IoT solutions (‘AIoT’) on the edge of the network with unparalleled speed, accuracy, and agility. With our disruptive AI-powered technology, integrated hardware and software solutions, and state of the art machine learning models, we deliver actionable insights and transformative impact that increase roadway safety, efficiency, and sustainability for our customers and citizens, while enabling safer, smarter, greener, and more equitable cities and communities.
Our employees represent the best and smartest top talent in our industry, and we select individuals to be a part of our team who help to define our culture and success. Rekor’s Values and Leadership Principles are: People First, Customer Success, Earn Trust, Deliver Impact and Think Big and Bold! Learn more by visiting www.rekor.ai.
Position Summary
The Senior Machine Learning Operations (MLOps) Engineer at Rekor is responsible for providing operational support for the machine learning team's model deployments, including development, deployment, and benchmarking. This role also supports machine learning model development and ensures the seamless integration and optimization of models.
Role and Responsibilities
- Manage and support the deployment of machine learning models in production environments, ensuring high availability and reliability.
- Develop and maintain CI/CD pipelines for machine learning models to streamline the deployment process.
- Implement monitoring and alerting systems to track model performance and detect anomalies in real-time.
- Oversee the infrastructure used for model training and deployment, ensuring scalability and efficient resource utilization.
- Conduct benchmarking of machine learning models to evaluate performance and identify areas for improvement.
- Work closely with data scientists and engineers to integrate models into applications and optimize performance.
- Manage model versioning and maintain a clear history of changes and updates.
- Create and maintain documentation for deployed models, processes, and best practices.
- Ensure the security of model deployments by implementing appropriate access controls and monitoring for vulnerabilities.
- Implement tools and practices for tracking experiments and model performance metrics.
Requirements
- Master’s or higher-level degree in Machine Learning preferred.
- Strong understanding of CI/CD processes and frameworks such as Terraform.
- Strong understanding of AWS services.
- 5+ years experience with Python and/or C++.
- Knowledge of machine learning frameworks such as PyTorch.
Advantage
- Experience with NVIDIA CUDA and hardware deployments.
- Experience with NVIDIA Deepstream and Triton frameworks.
- Experience with AWS.
- Experience with Nvidia CUDA coding.
It is the policy of Rekor Systems not to discriminate or allow the harassment of employees or applicants on the basis of sex, gender identity, sexual orientation, race, color, religious creed, national origin, physical or mental disability, protected veteran status, or any other characteristic protected by law in all employment practices. Rekor Systems' Executive Leadership Team is fully committed to the principles of equal employment opportunity and affirmative action and support the successful implementation of the Company's Affirmative Action Programs.
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