MLOps Engineer

Turion Space is building spacecraft for national security and in-space operations — and the ground systems to support them. From debris removal to space domain awareness to building a more secure space economy, we are a team focused on getting real hardware and software to orbit, operate, and scale fast.

We are seeking a highly skilled and passionate MLOps Engineer to join our visionary AI/ML team to drive the operationalization of our machine learning initiatives. In this role, you’ll be critical and instrumental in bridging the gap between cutting-edge ML research and robust, scalable, production systems. If you thrive on building and optimizing workflows and are passionate about building resilient infrastructure that powers the future of AI in space and ensures continuous delivery of high-performing models and algorithms, we encourage you to apply.

Responsibilities:

• Develop, implement, and maintain end-to-end machine learning pipelines, encompassing data ingestion, model training, validation, deployment, and monitoring

• Architect, build, and manage scalable and reliable cloud-native infrastructure for ML workloads using technologies like Kubernetes, Kubeflow, and Docker on platforms such as AWS and Azure

• Build and optimize robust deployment strategies for machine learning models, including containerization and serving using tools like KServe and custom APIs

• Establish comprehensive monitoring, logging, and alerting systems for model performance, data drift, and infrastructure health to ensure the reliability and stability of deployed models

• Implement and manage continuous integration and continuous delivery (CI/CD) pipelines (e.g., using GitLab and Pytest) for automated testing, deployment, and version control of ML code and models

• Advocate best practices for ML model and reducibility, versioning, and governance.

• Collaborate closely with data scientists, ML researchers, and software engineers to translate research prototypes into production-ready solutions and provide technical guidance on MLOps best practices

• Identify and implement optimizations for ML workflows, infrastructure, and model inference to improve efficiency and reduce operational costs

Qualifications:

• Bachelor's degree with equivalent practical experience

• Proven professional experience in MLOps, Machine Learning Engineering, or DevOps roles with a strong focus on operationalizing ML models

• Expertise in MLOps platforms and tools such as Kubernetes, Kubeflow, KServe, Docker, and Azure MLOps

• Experience with major cloud providers (AWS, Azure) for deploying and managing ML workloads

• Strong understanding and practical experience with CI/CD principles and tools (e.g., GitLab, Pytest).

• Fluent in Python; proficiency in SQL

• Excellent communication, creative problem-solving, and team collaboration skills

ITAR Requirements:

This position may include access to technology and/or software source code that is subject to U.S. export controls. To conform to U.S. Government export regulations, applicant must be a (i) U.S. citizen or national, (ii) U.S. lawful, permanent resident (aka green card holder), (iii) Refugee under 8 U.S.C. § 1157, or (iv) Asylee under 8 U.S.C. § 1158, or be eligible to obtain the required authorizations from the U.S. Department of State.
Benefits:
We offer a comprehensive compensation and benefits package designed to support the well-being and professional growth of our employees. In addition to a competitive base salary and company stock, determined by factors such as job-related knowledge, education, skills, experience, and market demand, full-time employees are eligible for:​

• Health Insurance: Comprehensive medical, dental, and vision coverage for employees and their dependents. ​

• Retirement Plans: Access to a 401(k) plan to help you plan for your future. ​

• Paid Time Off: Generous vacation days, personal days, and holidays to ensure you have time to recharge. ​

• Professional Development: Opportunities for ongoing training, workshops, and courses to advance your skills and career growth.

• Team Building Activities: Regular social events, team outings, and company-sponsored activities to foster a positive work environment. ​

We are dedicated to providing a supportive and enriching environment for our team members, recognizing that our collective success is built upon the well-being and satisfaction of each individual.

Turion Space is an Equal Opportunity Employer; employment with Turion Space is governed on the basis of merit, competence and qualifications and will not be influenced in any manner by race, color, religion, gender, national origin/ethnicity, veteran status, disability status, age, sexual orientation, gender identity, marital status, mental or physical disability or any other legally protected status.