Description:

Motive empowers individuals managing physical operations with tools that enhance safety, productivity, and profitability.
The company serves over 120,000 customers, including Fortune 500 companies and small businesses across various industries such as transportation, logistics, construction, and more.
The Software Engineer, MLOps will drive the execution of infrastructure and platform initiatives related to AI/ML pipelines, focusing on model training and inference.
Responsibilities include building tools, automating redundant tasks, and developing CI/CD systems.
The role requires a collaborative mindset and involves mentoring junior team members.

Requirements:

A Bachelor’s Degree in Computer Science, Electrical Engineering, or a related field is required.
Candidates should have 1-3+ years of experience in designing, implementing, and operating scalable software systems and services.
Hands-on experience with MLOps tools such as Docker, Kubernetes, Kubeflow, Spark, Airflow, AWS, and CI/CD is necessary.
A solid foundation in computer science, including data structures, algorithms, and software engineering, is essential.
Excellent verbal and written communication skills are required.
The ability to collaborate effectively with other teams and communicate clearly about work is important.
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, valuing different backgrounds, experiences, abilities, and perspectives.
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.