Who we are:
Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.
Motive serves more than 120,000 customers – from Fortune 500 enterprises to small businesses – across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.
Visit gomotive.com to learn more.
About the Role:
In this role, you will be responsible for driving the execution of crucial infrastructure and platform initiatives related to AI/ML pipelines. These pipelines are designed for highly efficient and scalable model Training, & Inference. The responsibilities include building and developing tools, automation of redundant tasks, and CI/CD systems. This role requires someone with a strong collaborative and growth mindset. You will also look after the career development of the engineering team members.
What You'll Do:
- Design, develop and deploy MLOps infrastructure for to improve the velocity of development and deployment of AI and deep learning models: CI/CD, input data unit and statistical testing, experiment tracking, model registry, and monitoring and alerting of production features
- Design, develop and deploy scalable cloud AI/ML pipelines for customer-facing inference and visualization services
- Develop, implement and administer best MLOps practices relating to model development automation, evaluation, testing and deployment
- Focus on addressing availability issues, work on scaling pipelines, and improving features while maintaining SLAs on performance, reliability, and system availability
- Work with technical leads and managers to understand project requirements and business needs and collaborate with engineers across teams to identify and deliver features, services & pipelines
- Collaborate with cross-functional teams such as Backend, Frontend, and Platform to ensure the development and delivery of end-to-end product features, and robust and scalable AI pipelines
- Mentor junior team members
What We're Looking For:
- Bachelor’s Degree in Computer Science, Electrical Engineering, or related field.
- 4+ years experience in designing, implementing, and operating scalable software systems and services
- 4+ years hands-on experience with MLOps and DevOps tools (e.g., Docker, Kubernetes, Kubeflow, Spark, Airflow, AWS, CI/CD)
- Solid CS foundations including in data structures, algorithms and software engineering
- Excellent verbal and written communication skills.
- You collaborate effectively with other teams and communicate clearly about your work.
- Knowledge of one or more of computer vision, deep learning, machine learning, or statistical and predictive modeling is a strong plus
Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.
Please review our Candidate Privacy Notice here.
The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.
#LI-Remote
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