Software Engineer, MLOps

Job Description

Motive is seeking a Software Engineer, MLOps to drive the execution of infrastructure and platform initiatives related to AI/ML pipelines. Motive empowers people who run physical operations with tools to make their work safer, more productive, and more profitable. The ideal candidate will have a strong collaborative and growth mindset and will be responsible for building and developing tools, automating redundant tasks, and implementing CI/CD systems. This role also involves looking after the career development of engineering team members.

What this role involves:

• Designing, developing, and deploying MLOps infrastructure to improve the velocity of development and deployment of AI and deep learning models.
• Developing and deploying scalable cloud AI/ML pipelines for customer-facing inference and visualization services.
• Implementing and administering best MLOps practices relating to model development automation, evaluation, testing, and deployment.
• Addressing availability issues, scaling pipelines, and improving features while maintaining SLAs on performance, reliability, and system availability.
• Collaborating with technical leads, managers, and engineers across teams to deliver features, services, and pipelines.
• Mentoring junior team members.

Requirements:

• Bachelor’s Degree in Computer Science, Electrical Engineering, or related field.
• 1-3+ years experience in designing, implementing, and operating scalable software systems and services.
• Hands-on experience with MLOps 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.
• Knowledge of one or more of computer vision, deep learning, machine learning, or statistical and predictive modeling is a strong plus.

What Motive offers:

• Opportunity to work on crucial infrastructure and platform initiatives related to AI/ML pipelines.
• A collaborative and growth-oriented work environment.
• Opportunity to mentor junior team members.