ABOUT LVT

LVT is on a mission to make the world safer and more secure through rapidly deployable security hardware that runs on our proprietary SaaS platform. Our enterprise-grade safety and security ecosystem makes it easy to secure essentially any physical environment through intelligent automation and actionable insights. As an industry leader in the IoT space, our systems are deployed in every state and adopted by Fortune 500 enterprise companies who share this vision.

ABOUT THIS ROLE

As a MLOps Engineer III at LVT, you will play a critical role in developing end-to-end infrastructure for machine learning development and deployment to the cloud and a fleet of edge devices. You will be responsible for providing technical guidance, driving innovation in machine learning operations, and ensuring the seamless integration of ML workflows across data pipelines, machine learning tools, edge deployment, cloud deployment, and observability. This position requires exceptional technical expertise, mentorship and leadership skills, and a passion for delivering high-quality machine learning infrastructure.

RESPONSIBILITIES

Technical Leadership

• Provide technical leadership and mentorship to a growing team of engineers working on machine learning infrastructure.

• Help set the technical direction, define best practices, and drive the adoption of modern ML Ops methodologies and technologies.

Infrastructure Development

• Design, build, and maintain scalable and robust ML Ops infrastructure for cloud and edge deployments.

• Evaluate and make build vs. buy decisions for ML tools and platforms.

Data Pipeline and Tools

• Develop and optimize data pipelines to support machine learning workflows.

• Integrate and manage machine learning tools for model training, validation, and deployment.

Deployment

• Oversee the deployment of machine learning models to cloud environments and edge devices.

• Ensure robust and reliable deployment processes, including continuous integration and continuous deployment (CI/CD).

Observability and Monitoring

• Implement observability solutions to monitor the performance and health of ML models and infrastructure.

• Proactively identify and address issues in ML pipelines and deployments.

Collaboration

• Collaborate with cross-functional teams such as data scientists, software engineers, and product managers to ensure seamless integration and successful delivery of ML products.

• Foster effective communication channels and promote a culture of collaboration and knowledge sharing.

Continuous Improvement

• Drive continuous improvement initiatives to enhance ML Ops processes, productivity, and efficiency.

• Identify bottlenecks, streamline workflows, and implement tools and methodologies to optimize the ML development lifecycle.

QUALIFICATIONS

• Bachelor's or Master's degree in Computer Science, Software Engineering, Electrical/Computer Engineering, or a related field.

• 5-7+ years of professional experience in software engineering, with a focus on ML Ops or related fields.

• Strong expertise in cloud platforms (e.g., AWS, GCP, Azure) and edge computing.

• Proficiency in programming languages such as Python, GoLang, or C++.

• Experience with ML Ops tools and frameworks (e.g., Kubeflow, MLflow, PyTorch, etc).

• Excellent problem-solving, debugging, and analytical skills, with the ability to navigate complex technical challenges.

• Strong interpersonal and communication skills, with the ability to collaborate effectively with diverse stakeholders.

• Demonstrated ability to thrive in a fast-paced and dynamic environment, managing multiple priorities simultaneously.

• Track record of delivering high-quality machine learning infrastructure and/or products on time and within budget.

• Experience with containerization and orchestration tools (e.g., Docker, Kubernetes).

• Familiarity with data engineering and big data technologies.

• Knowledge of security best practices in ML Ops and cloud deployments.

• Experience with monitoring and observability tools (e.g., Prometheus, Grafana).

WHY JOIN US

• Founder-led and employee-driven company 

• The opportunity to build where you stand

• Value centric decision making

• Both an economically stable and hyper-growth environment (ask us how this is possible)

• The market leader in redefining how B2B does security
   

On top of the obvious benefit of getting paid to work with great people who are laser-focused on a mission that matters, we also offer the following benefits:

• Comprehensive health, vision, and dental benefits for you and your family. Including supplemental and life insurance, company-paid HSA contributions, and an Employee Assistance Program (EAP). 

• 401(k) With up to 4% match

• Time Off & Paid Holidays - Ask us how we empower employees to take control of their well-being

• Stock Options - Every full-time employee has the opportunity to be an owner of the company and benefit from our success. 

• Paid Parental Leave - To help your growing family while you're away from work. 

• Company Events - Christmas Party, Summer Party, and other parties to celebrate whenever we can find an excuse. 

• Charitable Opportunities - LVT sends groups of employees to help the Daybreak Vision Project restore sight to thousands of people a year. 

• Wellness - We regularly host dentists, chiropractors, financial experts, and other professionals to provide services and seminars to help promote physical, mental, emotional, and financial wellness.  

• And More - Scholarship opportunities for employees and their dependents, discounted cell services, and opportunities to score tickets to Utah Jazz games and other Delta Center events.