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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.
The Software Engineer, MLOps will drive the execution of infrastructure and platform initiatives related to AI/ML pipelines.
Responsibilities include building tools, automating redundant tasks, and developing CI/CD systems.
The role requires a collaborative mindset and involves mentoring junior team members.
Key tasks include designing, developing, and deploying MLOps infrastructure to improve AI and deep learning model development and deployment.
The engineer will also focus on scalable cloud AI/ML pipelines for customer-facing services and ensure best MLOps practices are implemented.
Requirements:
A Bachelor’s Degree in Computer Science, Electrical Engineering, or a related field is required.
Candidates must have 4+ years of experience in designing, implementing, and operating scalable software systems and services.
A minimum of 4+ years of hands-on experience with MLOps and DevOps tools such as Docker, Kubernetes, Kubeflow, Spark, Airflow, AWS, and CI/CD is necessary.
Solid foundations in computer science, including data structures, algorithms, and software engineering, are essential.
Excellent verbal and written communication skills are required.
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.
Benefits:
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.