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Embedded MLOps Engineer

Company: Rekor Systems Inc
Location: Washington
Posted on: November 26, 2022

Job Description:

This is a hybrid role, with on-site time at our office in Columbia, MD.Intelligence Driven Innovation. 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 Principals are: People First, Customer Success, Earn Trust, Deliver Impact and Think Big and Bold! Learn more by visiting .Position Summary Rekor processes tens of terabytes of data and billions of streaming events daily. Most of these events are processed in real time by algorithms executing on edge devices. These numbers are growing rapidly as we expand our business into new regions and new target platforms for deployment. We're seeking to hire an experienced Embedded MLOps Engineer who cares deeply about their craft, and who wants to leverage their skills for positive change in the world and contribute to a high-performing global enterprise. This position is part of the newly formed Global Data and Analytics Organization, a diverse and growing team of talented scientists, analysts and engineers who keep our data flowing from connected vehicles and AI-enabled Edge Cameras, and that serve up insights and predictions directly into our portfolio of customer-facing products. The Embedded MLOps Engineer is responsible for designing, implementing, optimizing and maintaining end-to-end machine learning operations and life cycle management on edge devices. The engineer is expected to reduce the overall machine learning deployment latency and implement model monitoring metrics that track Precision, Recall, Drift, Biase, Lineage and Freshness. The ideal candidate is highly motivated and comfortable in the rapidly changing nature of a startup environment. Someone who can move forward relentlessly and raises their hand to do what's needed. You will be part of a team that is tackling real world issues, such as real time Incident Detection, Crash Risk, Irregular Congestion, Video-based Object Tracking, Vehicle Classification, Instantaneous Speed, Plate Recognition, Pedestrian and Bicycle Detection. Rekor's data and algorithms are directly integrated into our products in both Cloud Services and Edge Devices. As a team we delight in supporting and pushing each other to reach our collective potential while also exercising our shared obsession with empathy, excellence, candor, and continuous improvement. At Rekor we deeply appreciate that diversity, empathy, and trust are foundations for peak performance, and our Team is focused on providing the environment people need to feel human and able to bring their authentic selves to bear in the service of our shared mission. The Contribution:

  • Champion Machine Learning Operations culture and practices, enabling the Team to build better, more reliable, automated and secure products faster.
  • Comfortable working in an Agile environment with a cross functional and globally distributed team including offshore teams with the ability to manage multiple projects and priorities
  • Design, implement and optimize algorithms and embedded processing module on containerized microservices in Linux environment.
  • Work with other SMEs and stakeholders such as Data Scientist, Hardware design engineer, machine learning engineer and qualification leads to ensure on time and quality product delivery.
  • Contribute to an open, creative, and collaborative culture where everyone feels accountable for shaping the future of the Team and of Rekor.
  • Support and implement end-to-end machine learning workflow.
  • Work with diverse target platforms to build, train, deploy, optimize, and monitor machine learning models and production inference pipelines in Cloud and on Edge Devices.
  • Optimize and improve resources efficiencies such as compute and memory for existing deployment.
  • Identify and provide insight about high-risk development processes and areas that may adversely impact regular and efficient ML development operations and suggest ways to mitigate them. Ideal Profile:A highly energetic and customer focused individual who is knowledgeable about and/or interested in the transportation technology industry and business savvy to deliver state of the art cutting edge technology solutions for our customers. You're looking for a progressive, entrepreneurial, fast paced, vibrant, flexible working environment where you can pursue your career interests and achieve your full potential. You bring to the organization the following:
    • BS in Computer Science, EE Engineering, or equivalent technical field.
    • Two [2+] years of experience deploying and operating matching learning models in embedded/IoT/Edge devices for production environments. Relevant DevOps experience in a machine learning context will also be considered.
    • Proficient in real-time embedded software development in Linux environment.
    • Proficient in machine learning relevant programming languages such as Python, C/C++, bash.
    • Experienced proficiency in MLOps workflow tools such as: Amazon SageMaker, MLFlow, ONNX Runtime PyTorch lightening, and Docker based containerization.
    • Proven experience and passion bringing a project from working prototype to production.
    • Demonstrated strong coding abilities - production grade version control.
    • Work independently yet part of cohesive collaborative team
    • Excellent verbal, written, and presentation communication skills. PI197513775

Keywords: Rekor Systems Inc, Washington DC , Embedded MLOps Engineer, Other , Washington, DC

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