Description:

Motive empowers physical operations with tools to enhance safety, productivity, and profitability.
The company serves over 120,000 customers across various industries, including transportation, construction, and retail.
The role involves driving the execution of infrastructure and platform initiatives related to AI/ML pipelines.
Responsibilities include building tools, automating tasks, and developing CI/CD systems.
The position requires a collaborative mindset and a focus on the career development of engineering team members.
Key tasks include designing, developing, and deploying MLOps infrastructure, scalable cloud AI/ML pipelines, and best practices for model development automation.
The role also involves addressing availability issues, scaling pipelines, and collaborating with cross-functional teams to deliver product features.

Requirements:

A Bachelor’s Degree in Computer Science, Electrical Engineering, or a related field is required.
A minimum of 3 years of experience in designing, implementing, and operating scalable software systems and services is necessary.
Hands-on experience with MLOps and DevOps tools such as Docker, Kubernetes, Kubeflow, Spark, Airflow, AWS, and CI/CD is essential.
Solid foundations in computer science, including data structures, algorithms, and software engineering, are required.
Excellent verbal and written communication skills are a must.
The candidate should be able to collaborate effectively with other teams and communicate clearly about their work.
Knowledge of computer vision, deep learning, machine learning, or statistical and predictive modeling is a strong plus.

Motive is committed to creating a diverse and inclusive workplace, welcoming individuals from various backgrounds and experiences.
The company is an equal opportunity employer, ensuring fair treatment for all applicants.
Employees are required to be authorized to access commodities and technologies controlled under U.S. Export Administration Regulations.