Senior ML Ops Engineer — Remote & Scalable AI Systems

Remote Jobs; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Fully remote work

Job summary

SPD Technology is seeking a Senior ML Operations Engineer to join our team working on PitchBook, a platform for investment professionals. You will support teams building and deploying AI‑driven solutions, addressing ML lifecycle challenges, and mentoring peers in a fast‑paced, Scrum‑based environment.

This fully remote role offers autonomy, collaboration with product managers, and opportunities to evolve tech stacks with cloud-native tools.

Qualifications

• Degree in Computer Science, Information Systems, Machine Learning, or a similar field preferred (or equivalent practical experience).
• 5+ years hands-on software development experience with Python (Java experience with strong Python proficiency also considered).
• 4+ years of experience designing and building distributed software systems and architectures.
• 3+ years of hands-on experience deploying and operating Machine Learning services in production.
• Experience supporting ML lifecycle operations including post-deployment monitoring and maintenance.
• Experience in cloud-native stack, with a practical understanding of containerization technologies such as Kubernetes and Docker.
• Demonstrated experience with SQL and NoSQL database design and implementation.
• Ability to decompose complex problems into iterative, well-defined solutions.
• Strong problem-solving abilities with focus on building scalable, efficient, and maintainable systems.
• Strong communication and collaboration skills, with the ability to engage effectively with internal customers across various cultures and regions.
• Ability to be a team player who can also work independently.
• Experience working across multiple development teams is a plus.

Responsibilities

• Support teams building and deploying AI-driven solutions across the ML lifecycle.
• Help overcome challenges in ML development, deployment, and support lifecycle.
• Provide mentorship, technical guidance, and perform code reviews for team members.
• Design and deliver end-to-end projects with minimal guidance.
• Support the vision and values of the company through role modeling and collaboration.
• Learn and apply new tools, technologies, libraries, and frameworks to improve AI capabilities.
• Participate in cross-functional company initiatives and strategic planning.

Skills

Python

Distributed systems

ML lifecycle

Cloud platforms

SQL/NoSQL

Problem solving

Communication

Independent work

Education

Bachelor's in CS or equivalent

Tools

Kubernetes

Docker

Prometheus/Grafana

FastAPI

Git

AWS/GCP/Azure

Job description

SPD Technology is seeking a Senior ML Operations Engineer to join our team working on PitchBook, a platform for investment professionals. You will support teams building and deploying AI‑driven solutions, addressing ML lifecycle challenges, and mentoring peers in a fast‑paced, Scrum‑based environment.

This fully remote role offers autonomy, collaboration with product managers, and opportunities to evolve tech stacks with cloud-native tools.