Senior AI/ML Platform Engineer

Quantum Technologies. LLC; Linthicum (MD); On-site; USD 170,000 - 250,000; Full time

Job summary

Quantum Technologies. LLC seeks a Senior AI/ML Platform Engineer to design, implement, operate, and continuously improve a shared enterprise AI/ML platform. You will own platform automation, MLOps, CI/CD, cloud infrastructure, and observability across teams.

Ideal candidates bring 10+ years in platform/MLOps roles, strong Python, and hands-on Kubernetes experience, plus Terraform and Ansible for deployment and governance.

Qualifications

• 10+ years in platform engineering, MLOps, or data/software engineering (2+ yrs with production ML).
• Strong Python and production-grade software development skills.
• Experience with cloud providers and cost optimization.
• Advanced Kubernetes and observability tooling experience.

Responsibilities

• Design, implement, operate, and improve the enterprise AI/ML platform.
• Automate platforms, CI/CD and deployment workflows across clouds.
• Enhance observability, reliability, and cost efficiency of ML workloads.

Skills

Python

MLOps

CI/CD pipelines

Cloud platforms

Kubernetes

Observability tools

Prometheus

Grafana

Datadog

OpenTelemetry

Terraform

Ansible

Model lifecycle

Experiment tracking

Model serving

Drift monitoring

Education

Bachelor's degree in Computer Science/Engineering/Information Systems

Master's degree preferred

Tools

Terraform

Ansible

Job description

Job Description: Position Overview: The Senior AI/ML Platform Engineer will design, implement, operate, and continuously improve the shared enterprise AI/ML platform. Key areas of focus include platform automation, MLOps, CI/CD, cloud infrastructure, observability, reliability engineering, and cost optimization.

Key Requirements:

• 10+ years of experience in platform engineering, MLOps, or data/software engineering, including 2+ years with production ML systems.
• Bachelor's degree in Computer Science, Information Systems, Engineering, Business, or a related technical discipline (Master's degree preferred).
• Strong proficiency in Python and production-grade software development.
• Experience designing and improving ML CI/CD pipelines, automation frameworks, and deployment processes.
• Hands-on experience with AWS, Azure, or GCP, including cloud resource management and cost optimization.
• Advanced Kubernetes experience (cluster management, resource quotas, autoscaling, workload scheduling).
• Experience with observability tools such as Prometheus, Grafana, Datadog, or OpenTelemetry.
• Production-scale experience with Terraform and Ansible.
• Strong understanding of the ML lifecycle, experiment tracking, model registries, feature stores, model serving, and drift monitoring.
• Experience with automated model validation, testing, A/B testing, canary deployments, rollbacks, and production releases.
• Experience developing internal SDKs, CLI tools, reusable templates, APIs, and standardized deployment workflows.
• Strong troubleshooting, incident response, root-cause analysis, and technical documentation skills.

Preferred Qualifications:

• Experience with shared platforms or Internal Developer Platforms (IDPs).
• Familiarity with LLM serving technologies (e.g., vLLM, TGI, managed LLM APIs).
• Background in government, regulated, or FedRAMP-compliant environments.
• Knowledge of the NIST AI Risk Management Framework and responsible AI governance.
• Familiarity with FinOps practices and tools (e.g., Infracost, AWS Cost Explorer).
• Expertise in GitOps, platform APIs, developer tooling, and infrastructure observability.

We are an equal opportunity employer. All aspects of employment including the decision to hire, promote, discipline, or discharge, will be based on merit, competence, performance, and business needs. We do not discriminate on the basis of race, color, religion, marital status, age, national origin, ancestry, physical or mental disability, medical condition, pregnancy, genetic information, gender, sexual orientation, gender identity or expression, national origin, citizenship/ immigration status, veteran status, or any other status protected under federal, state, or local law.