Senior AI/ML Platform Engineer

MACHINE LEARNING TECHNOLOGIES LLC; Linthicum (MD); On-site; USD 150,000 - 210,000; Full time

Job summary

MACHINE LEARNING TECHNOLOGIES LLC in Linthicum Heights, MD seeks a Senior AI/ML Platform Engineer to design, implement, and run the enterprise AI/ML platform. You will drive platform automation, MLOps, CI/CD, cloud infrastructure, and cost optimization while ensuring reliability and observability at production scale.

Required: 10+ years in platform/MLOps, strong Python, Kubernetes, cloud experience, and proficiency with Terraform/Ansible. Prior ML lifecycle and deployment experience is essential.

Qualifications

• 10+ years in platform/MLOps or data/software engineering.
• Bachelor's degree (Master's preferred).
• Strong Python production-grade software development.
• Experience designing ML CI/CD pipelines and deployment processes.
• Hands-on with AWS/Azure/GCP and cost optimization.
• Advanced Kubernetes experience.
• Observability tools: Prometheus, Grafana, Datadog, OpenTelemetry.
• Production-scale Terraform and Ansible.
• ML lifecycle: tracking, registries, feature stores, drift monitoring.
• Automated model validation, A/B testing, canary deployments, rollbacks.

Responsibilities

• Design, implement, operate, and continuously improve the shared enterprise AI/ML platform.
• Advance platform automation, MLOps, CI/CD, cloud infra, and observability.

Skills

Python

MLOps

CI/CD

Cloud platforms

Kubernetes

Observability

Terraform

Ansible

ML lifecycle

Model serving

Education

Bachelor's degree in CS/IS/Engineering/related

Master's degree preferred

Tools

Prometheus

Grafana

Datadog

OpenTelemetry

Terraform

Ansible

Job description

Job Overview

• Job ID: J53247
• Job Title: Senior AI/ML Platform Engineer
• Location: Linthicum Heights, MD
• Duration: 12 Months + Extension
• Domain Exposure: Healthcare,Retail,Telecom,IT/Software
• Work Authorization: US Citizen,Green Card,OPT-EAD,CPT,H-1B,H4-EAD,L2-EAD,GC-EAD
• Client: To Be Discussed Later
• Employment Type: W-2, 1099, C2C

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.

Equal Opportunity Employer

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.