Senior AI/ML Platform Engineer

Ethereum Technologies; Linthicum (MD); Sur place; USD 170 000 - 230 000; Plein temps

Résumé du poste

Ethereum Technologies seeks a Senior AI/ML Platform Engineer to design, build, and operate a shared enterprise AI/ML platform. You will focus on platform automation, MLOps, CI/CD, cloud infrastructure, and reliability, with strong emphasis on cost optimization.

You will work on production ML pipelines, Kubernetes-based deployments, observability, and scalable model serving, while shaping internal tooling and deployment workflows for the organization.

Qualifications

• 10+ years of experience in platform engineering, MLOps, or data/software engineering, incl. 2+ years with production ML systems.
• Bachelor's degree in a related technical discipline; Master’s preferred.
• Strong proficiency in Python and production-grade software development.
• Experience designing and improving ML CI/CD pipelines and deployment processes.
• Hands-on AWS, Azure, or GCP experience including cost optimization.
• Advanced Kubernetes experience: cluster management, autoscaling, scheduling.
• Experience with observability tools (Prometheus, Grafana, Datadog, OpenTelemetry).
• Production-scale Terraform and Ansible experience.
• Deep understanding of ML lifecycle, experiment tracking, model registries, feature stores, and drift monitoring.
• Experience with automated model validation, A/B testing, canary deployments, and production releases.

Responsabilités

• Design, implement, operate, and continuously improve a shared enterprise AI/ML platform.
• Drive platform automation, MLOps, CI/CD, and cloud infrastructure.
• Enhance observability, reliability, and cost optimization of the platform.
• Lead deployment workflows, model serving, validation, and drift monitoring.
• Develop internal SDKs, CLI tools, reusable templates, APIs, and standardized deployment processes.

Connaissances

Python

MLOps

CI/CD

Kubernetes

Terraform

Ansible

Cloud platforms

Observability

Model lifecycle

Model serving

Formation

Bachelor's degree in CS/Engineering

Master's degree preferred

Outils

Prometheus

Grafana

Datadog

OpenTelemetry

Terraform

Ansible

Description du poste

US Citizen, Green Card, H-1B, OPT-EAD, CPT, Other

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.