Mlops Engineer • Senior

Who you are

You have 5+ years of experience in software engineering with a focus on MLOps — you've designed and built scalable machine learning infrastructure that supports high-performance applications. Your expertise in cloud technologies, particularly AWS, allows you to architect solutions that are both reliable and efficient.

You enjoy collaborating with cross-functional teams and thrive on technical challenges — your ability to communicate complex ideas clearly helps bridge the gap between engineering and product teams. You take pride in your work and are always looking for ways to improve processes and systems.

Your experience with Kubernetes and distributed systems means you understand the intricacies of deploying and managing applications at scale — you've navigated the challenges of high-scale workloads and observability in production environments.

You are passionate about leveraging AI to improve patient outcomes and are excited about the impact your work can have in the healthcare sector — you believe in the power of technology to transform lives and are eager to contribute to meaningful projects.

Desirable

Experience with CI/CD pipelines and automation tools is a plus — you understand the importance of streamlining workflows to enhance productivity and reduce errors. Familiarity with compliance and security requirements in healthcare technology will set you apart.

What you'll do

As a Senior Software Engineer, MLOps, you will architect and build infrastructure to support machine learning application development and deployment — your role will involve driving system design and leading architectural discussions to ensure that the MLOps suite meets performance, security, and compliance requirements. You will lead technical initiatives by researching and evaluating new technologies that can enhance the capabilities of the team.

You will collaborate closely with data scientists and other engineers to ensure that the machine learning models are effectively integrated into the production environment — your insights will help shape the direction of the MLOps strategy and ensure that the systems are robust and scalable.

You will also be responsible for monitoring system performance and implementing improvements as needed — your proactive approach will help identify potential issues before they impact users. By fostering a culture of continuous improvement, you will help the team stay ahead of the curve in a rapidly evolving field.

What we offer

PathAI offers a collaborative and inclusive work environment where you can make a real impact — you will be part of a diverse team that values different perspectives and experiences. We provide opportunities for professional growth and development, ensuring that you have the resources you need to succeed.

We believe in the importance of work-life balance and offer flexible working arrangements — whether you prefer to work onsite in Boston or New York, or remotely, we support your needs. Competitive compensation and benefits packages are also part of what we offer to attract and retain top talent in the industry.