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Skills
Agile Programming Methodologiesunmatched
Analysis Skillsunmatched
Application Programming Interface (API)unmatched
Artificial Intelligence (AI)unmatched
Automationunmatched
Business Caseunmatched
Cloud Computingunmatched
Communication Skillsunmatched
Consultingunmatched
Continuous Deployment/Deliveryunmatched
Continuous Integrationunmatched
Cross-Functionalunmatched
DNS (Domain Name System)unmatched
Data Modelingunmatched
DevOpsunmatched
Digital Certificatesunmatched
Ecosystemsunmatched
Enterprise Applicationsunmatched
Financial Servicesunmatched
GCP (Good Clinical Practices)unmatched
GitHubunmatched
Identify Issuesunmatched
Information/Data Security (InfoSec)unmatched
Kernel Programmingunmatched
Machine Learningunmatched
Maintain Complianceunmatched
Microsoft Windows Azureunmatched
Network Administration/Managementunmatched
Network Performance/Analysisunmatched
Network Routingunmatched
Problem Solving Skillsunmatched
Public Key Infrastructure (PKI)unmatched
Python Programming/Scripting Languageunmatched
Regulatory Complianceunmatched
Riskunmatched
Scripting (Scripting Languages)unmatched
Software Engineeringunmatched
Team Playerunmatched
Use Casesunmatched
Description
Contract-to-Hire | Hybrid Mt. Laurel, NJ
We are seeking an experienced AI/ML Platform Engineer to design and deliver enterprise-scale AI and machine learning solutions on Azure and GCP. This role focuses on enabling AI/ML capabilities across the organization, helping teams build, deploy, and scale intelligent solutions securely and efficiently.
You will work closely with cloud, security, and engineering teams to build robust platforms, automate AI/ML workflows, and ensure compliance with enterprise standards.
Key Responsibilities
Design and implement scalable AI/ML platforms and services on Azure (and GCP)
Enable and support Generative AI and ML use cases across the business
Build and maintain MLOps pipelines for model training, deployment, and monitoring
Develop infrastructure as code using Terraform and CI/CD pipelines (GitHub Actions)
Integrate AI/ML services with enterprise systems via APIs and webhooks
Ensure secure deployment of data and models, following cloud security and compliance standards
Collaborate with cross-functional teams (cloud, security, risk, development)
Troubleshoot cloud infrastructure, networking, and performance issues
Support automation of AI/ML services and platform capabilities
Contribute to DevOps practices within an Agile environment
Required Skills & Experience
3+ years experience as an AI/ML Platform Engineer or similar role
Strong experience with Azure (preferred) and/or GCP cloud platforms
Proficiency in Python, APIs, and automation scripting
Hands-on experience with Terraform, CI/CD pipelines, and GitHub Actions
Experience with MLOps/AIOps practices and model lifecycle management
Knowledge of Generative AI, RAG architectures, and LLM frameworks (e.g., LangChain, Semantic Kernel)
Understanding of AI ecosystem tools (evaluation, monitoring, vector databases, governance)
Experience integrating AI/ML services into enterprise applications
Strong understanding of cloud security, RBAC, and data protection principles
Ability to troubleshoot Azure networking (DNS, connectivity, routing)
Strong analytical, problem-solving, and communication skills
Nice to Have
Experience in financial services or regulated environments
Familiarity with agentic AI platforms or Copilot ecosystems
Knowledge of PKI and certificate management in cloud environments
What We’re Looking For
A self-starter who can work independently and in a team
Strong critical thinking and problem-solving abilities