Senior ML Platform Engineer

abraCenter, Center District, On-site

SeniorFull-timeDevOps & SRE

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Confirmed open at the employer yesterday · Posted 9 days ago

Listing published by its original source and linked back to it. The employer did not pay JobsWarm for this listing.

Requirements

mlopsmachine learningkubernetesopenshiftrancherdockerlinuxmlflowkubeflowairflowmodel servingpythonbash

Nice to have

ragpgvectormilvusweaviateqdrantci/cdinfrastructure as codeterraformhelmansiblellm

Job description

Description

abra is seeking for a Senior ML Platform Engineer .

We're looking for a hands-on Senior ML Platform Engineer (MLOps) to build and maintain the infrastructure that powers secure, production-grade AI in an air-gapped environment.

In this role, you'll develop and optimize ML pipelines, model serving, experiment tracking, model registries, vector databases (RAG), dataset versioning, and GPU orchestration. You'll work closely with AI developers, data scientists, and software engineers to deliver scalable, secure, and reliable AI solution

Requirements

Must have:

5+ years of experience in MLOps, ML Platform, DevOps, Infrastructure, or Software Engineering with hands-on experience supporting production ML/AI platforms.
Strong experience with Kubernetes (or OpenShift/Rancher), Docker/containers, Linux, and production environments.
Experience with ML lifecycle tools (e.g., MLflow, Kubeflow, Airflow) and model serving frameworks (e.g., vLLM, Triton, KServe).
Proficiency in scripting (Python/Bash) and experience working closely with ML Engineers and Software Developers.

Nice to have:

Experience with RAG infrastructure and vector databases (e.g., pgvector, Milvus, Weaviate, Qdrant).
Experience with CI/CD, Infrastructure as Code (Terraform, Helm, Ansible), and AI gateways or LLM serving platforms.

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