Senior ML Ops/AI Ops Engineer

Employer description

The Aerospace Corporation is the trusted partner to the nation’s space programs, solving the hardest problems and providing unmatched technical expertise. As the operator of a federally funded research and development center (FFRDC), we are broadly engaged across all aspects of space— delivering innovative solutions that span satellite, launch, ground, and cyber systems for defense, civil and commercial customers. When you join our team, you’ll be part of a special collection of problem solvers, thought leaders, and innovators. Join us and take your place in space.

At Aerospace, we are reimagining how we operate and deliver values to our customers using AI. It is an exciting time to join and help us shape our future. We are looking for a Senior MLOps Engineer to help us build and maintain the infrastructure, pipelines, and tooling to automate end-to-end ML lifecycle — from experimentation, training to deployment to monitoring. You will work with a small team of bright and experienced DevOps engineers to push the boundaries of ML platform.  The selected candidate will have a broad knowledge of MLOps lifecycle and will work effectively with data scientist, ML engineers, DevOps engineers, to ensure ML systems secured, reliable, scalable, and reproducible in production.

The selected candidate will be required to work full-time, on-site at our facility in El Segundo, CA.

What You’ll Be Doing

Defining, designing, implementing, and operating a MLOps platform/frameworkDesign, build, and maintain end-to-end CI/CD/CT (Continuous Training) pipelines for model training, validation, deployment, and retraining.Deploy ML models to production using containerized services (Docker, Kubernetes) and model-serving frameworks (TensorFlow Serving, TorchServe, Triton Inference Server, Seldon, or KServe).Implement and maintain tools for experiment tracking, model versioning, and reproducibility (MLflow, Weights & Biases, DVC).Build and maintain feature stores (Feast, Tecton, or custom solutions) to ensure consistent feature computation across training and inference.Automate provisioning of ML infrastructure (compute, storage, GPU clusters) using Terraform, Pulumi, or CloudFormation across cloud environments.Implement monitoring for model performance, data drift, concept drift, and prediction quality in production — triggering alerts and automated retraining when thresholds are breached.Manage GPU/TPU resources for distributed training and high-throughput inference, optimizing for cost and performance.Work closely with Data Engineering to ensure clean, reliable, and well-governed data pipelines feed into training and inference systems.Establish model registries, lineage tracking, and audit trails to support compliance, reproducibility, and rollback capability.Collaborate closely with Data Scientists, ML Engineers, and Platform/DevOps teams to translate experimental models into robust, production-grade systems.Diagnose and resolve production issues related to model latency, throughput, resource contention, or pipeline failures 
What You Need to be Successful

Minimum Requirements for the Technical and Cloud Computing Engineer Staff III:

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field3+ years of experience in MLOps, ML Engineering, DevOps, or a closely related role, with direct experience deploying ML models to productionProficiency in Python, with strong software engineering fundamentals, including testing, version control, and code review practicesHands-on experience with containerization (Docker) and orchestration (Kubernetes) for ML workloadsExperience with at least one major cloud platform (AWS, Azure, or GCP) and its ML/compute servicesFamiliarity with CI/CD tools (e.g., Jenkins, ArgoCD, GitHub Actions, GitLab CI) applied to ML pipelinesExperience with experiment tracking and model versioning tools (e.g., MLflow, DVC, or similar)Solid understanding of ML fundamentals — including the training/inference lifecycle, model evaluation metrics, and data drift — sufficient to collaborate effectively with data scientistsExperience working within Agile development processesExcellent troubleshooting skills with a proactive approach to identifying and resolving software and system issuesPartner and build effective relationships and drive consensus with peers and customersAbility to obtain and maintain a DoD SECRET clearance issued by the U.S. government; U.S. citizenship is required to obtain a security clearanceIn addition to the above, the minimum requirements for Technical and Cloud Computing Engineer Staff IV include:

5+ years of experience in MLOps, ML Engineering, DevOps, or a closely related role, with direct experience deploying ML models to productionWorking knowledge of basic security hygiene practices (IAM, secrets management, vulnerability scanning) — advanced security specialization not requiredHow You Can Stand Out

It would be impressive if you have one or more of these:

Master’s degree in computer science or related fieldA continuous improvement mindset — never satisfied with the status quo and always seeking better ways to design, build, and deliver solutionsSharp analytical instincts for spotting missing requirements and system/software vulnerabilitiesPractical experience with managed ML platforms (SageMaker, Vertex AI, Azure ML) and the tradeoffs between managed vs. self-hosted solutionsExperience deploying and scaling large language models — including quantization, batching, prompt caching, and vector database integration (Pinecone, Weaviate, Milvus).Experience with MLOps frameworks (Kubeflow, MLflow, SageMaker Pipelines, Vertex AI Pipelines).Exposure to GPU cluster management for ML training/inference workloads (NVIDIA, CUDA, Triton Inference Server).Experience with AIOps or anomaly-detection platforms.

We offer a competitive compensation package where you’ll be rewarded based on your performance and recognized for the value you bring to our business.  The grade-based pay range for this job is listed below.  Individual salaries within that range are determined through a wide variety of factors including but not limited to education, experience, knowledge and skills.

(Min - Max)

$107,000.00 - $202,800.00

Pay Basis: Annual

Leadership Competencies

Our leadership philosophy is simple: every employee, regardless of level and role, can demonstrate leadership. At Aerospace, our commitment is our people. To cultivate our talent and ensure that we have a strong pipeline of future leaders, we want individuals who:

Operate StrategicallyLead Change   Engage with Impact   Foster Innovation   Deliver Results  

Ways We Reward Our Employees

During your interview process, our team will provide details of our industry-leading benefits.

Benefits vary and are applicable based on Job Type.  A few highlights include:

Comprehensive health care and wellness plans

Paid holidays, sick time, and vacation

Standard and alternate work schedules, including telework options

401(k) Plan — Employees receive a total company-paid benefit of 8%, 10%, or 12% of eligible compensation based on years of service and matching contributions; employees are immediately eligible and vested in the plan upon hire

Flexible spending accounts

Variable pay program for exceptional contributions

Relocation assistance

Professional growth and development programs to help advance your career

Education assistance programs

An inclusive work environment built on teamwork, flexibility, and respect

We are all unique, from various backgrounds and all walks of life, yet one thing bonds all of us to each other—the belief that we can make a difference. This core belief empowers us to do our best work at The Aerospace Corporation.

Equal Opportunity Commitment

The Aerospace Corporation is an equal opportunity employer. All qualified applicants will receive consideration for employment and will not be discriminated against on the basis of race, age, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender, gender identity or expression, color, religion, genetic information, marital status, ancestry, national origin, protected veteran status, physical disability, medical condition, mental disability, or disability status and any other characteristic protected by state or federal law. If you’re an individual with a disability or a disabled veteran who needs assistance using our online job search and application tools or need reasonable accommodation to complete the job application process, please contact us by phone at 310.336.5432 or by email at [email protected] . You can also review Know Your Rights: Workplace Discrimination is Illegal.