Location: Remote (Must be located in Eastern Timezone)

Travel:   Less than 10%

Manages Others:  No

Education:   Bachelors of Computer Science, Machine Learning or similar

Experience:   ML Ops experience, including 3+ years designing, building and deploying ML infrastructure

THE OPPORTUNITY: 

As an ML Ops Engineer, you will be responsible for architecting and developing the foundational infrastructure that powers our machine learning operations. You will play a key role in building greenfield solutions, optimizing end-to-end machine learning workflows, and ensuring that our systems scale to meet the demands of advanced AI models, including integrating with IoT devices and sensors. Your expertise in ML Ops will be vital in delivering robust, reproducible, and automated systems that enhance the performance of our machine learning models across various domains.

• Architect ML Ops Solutions. Design, build, and deploy new ML infrastructure from scratch. Lead the development of scalable, efficient, and secure machine learning platforms that facilitate seamless model deployment, monitoring, and lifecycle management.
• Develop robust machine learning frameworks and pipelines to enable data scientists and machine learning engineers to efficiently deploy, test, and maintain models in production environments.
• Establish and implement continuous integration and continuous deployment (CI/CD) pipelines for machine learning workflows, including automated testing, model validation, deployment, and rollback procedures.
• Design and implement infrastructure that supports real-time data collection and integration from IoT devices, sensors, and edge computing, ensuring seamless interaction between IoT data streams and machine learning models.
• Develop strategies and systems for versioning models, monitor performance in production, and ensure that deployed models are robust, interpretable, and meet performance requirements.
• Work closely with data scientists, ML engineers, software engineers, and IoT teams to ensure the successful integration of ML models into production systems, with a focus on performance, scalability, and security.
• Implement security best practices to ensure data privacy and the integrity of ML models, while complying with relevant regulations and standards.

• Documentation & Knowledge Sharing: Provide comprehensive documentation for ML systems and workflows, and mentor team members on best practices in ML Ops, model management, and IoT integration

6+ years of hands-on experience in machine learning, cloud infrastructure, and software engineering, with a strong background in architecting and implementing ML systems from the ground up, including experience with IoT systems.

• Technical Skills:
• Expertise in tools and technologies for ML Ops (e.g., Kubernetes, Docker, Terraform, Airflow, MLFlow, TensorFlow, PyTorch, etc.).
• Strong proficiency in cloud platforms (e.g., AWS) and services relevant to ML workloads.
• Experience with Terraform to provision, manage, and scale infrastructure, ensuring efficient, repeatable cloud provisioning.
• Strong Python programming skills for building, automating, and scaling ML workflows and data pipelines.
• Proficiency in JavaScript and/or Ruby for backend integration and scripting tasks related to ML systems and automation.
• Hands-on experience integrating and processing data from IoT devices, managing IoT data streams, and deploying edge models.
• Experience in automating end-to-end ML pipelines and deploying custom models in production at scale.

• Collaboration: Excellent communication skills and experience working in cross-functional teams, collaborating with data scientists, ML Engineers, product managers, IoT engineers, and software engineers.

Who We Are

At BusPatrol, safety isn’t just a priority — it’s our mission. As the nation’s most trusted school bus stop-arm technology solution, we serve over 350 school districts, protecting nearly 2 million students across 30,000 buses. Every day, millions of children rely on school buses to get to and from school safely, yet reckless drivers continue to put them at risk.

As a technology company with a unique focus on public safety, we use cutting-edge AI, machine learning, and telematics to improve school bus safety. Our all-in-one safety program equips school bus fleets with AI-powered cameras, cloud-based data management, and an integrated software platform to capture and process stop-arm violations. Our safety programs foster accountability and reduce dangerous driving behavior in communities across the country.

By partnering with school districts, municipalities, and law enforcement, we make safety solutions more accessible and effective, ensuring that every child’s journey to and from school is as safe as possible.

What We Offer

When you join BusPatrol, you are not just taking a job. You are joining a mission-driven team dedicated to making a real impact. We offer:

✔ Competitive salary and benefits package

✔ Unlimited PTO

✔ A purpose-driven career, working to protect children and improve public safety

✔ The occasion to participate in BusPatrol’s culture of safety, learning, and teamwork 

✔ A team of innovators, committed to leveraging AI and smart technology for social good

Be Part of Something Bigger

We are looking for a passionate and dedicated team member to help us make roads safer. This is a meaningful opportunity to contribute to a mission-driven company that is using technology to create real change. At BusPatrol, we foster an inclusive and diverse environment built on integrity, collaboration, and innovation. If you are ready to be part of a team that is deeply committed to safety and community impact, we would love to hear from you.

Together, we can protect students, hold drivers accountable, and build a safer future for all.

We are looking for a valued member of the BusPatrol team to assist us in our quest to improve children’s safety. This is an important role for us and a great opportunity for the right candidate. Our environment is inclusive, diverse, ignited, built on integrity, and deeply committed.

The US salary range for this position is provided in this posting. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target for salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your Talent Partner can share more about the specific salary range for your preferred location and skill level during the hiring process.

Please note that the compensation details listed in US role postings reflect the base salary only, and do not include bonus, and/or commission (if applicable) or benefits. 

EOE/AA Disability-Veteran