Senior ML Ops Engineer

<h3>📋 Description</h3> • 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. • Provide comprehensive documentation for ML systems and workflows, and mentor team members on best practices in ML Ops, model management, and IoT integration. <h3>🎯 Requirements</h3> • 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. • 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. • Excellent communication skills and experience working in cross-functional teams, collaborating with data scientists, ML Engineers, product managers, IoT engineers, and software engineers. <h3>🏖️ Benefits</h3> • 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