Drive the strategy, architecture, and delivery of next-generation AI and Machine Learning platforms
Design scalable, secure, and production-grade ML/LLM infrastructure on Azure
Shape platform standards, influence architectural direction, and mentor engineering teams
Architect, lead, and optimize complex ML/LLM pipelines on Azure ML
Drive the operationalization of large-scale LLMs (GPT, LLaMA, Claude, etc.)
Define Terraform based IaC patterns and oversee provisioning of compute clusters
Establish governance, drift monitoring, and enterprise grade model management practices.
Architect high availability, low latency inference environments using Azure Kubernetes Service
Design and scale advanced RAG pipelines using vector databases such as Azure Cognitive Search, Redis, or FAISS
Lead the creation of reusable, enterprise-wide Azure DevOps CI/CD templates for ML assets
Mentor ML engineers and advocate for engineering excellence, design reviews, and knowledge-sharing across teams

Requirements

Bachelor’s or Master’s in Computer Science, Engineering, or a related field
10+ years of experience in ML engineering, platform engineering, data engineering, or cloud architecture roles
Deep experience deploying and scaling ML systems on Azure, including Azure ML, AKS, Azure DevOps, and distributed compute
Significant hands-on experience with Terraform and cloud-native architectural patterns at enterprise scale
Proven background in building secure, automated ML/LLM systems and managing full model lifecycles in production
Expert proficiency in Python (PyTorch, Transformers, LangChain), Terraform, and Bash/PowerShell
Advanced experience with Docker, Kubernetes, and GPU-accelerated inference on AKS
Strong understanding of scalable inference patterns, LLM optimization, vector databases, and RAG architectures
Deep knowledge of CI/CD, model registries, artifact management, and ML observability tooling
Strong leadership, documentation, communication, and stakeholder management skills
Demonstrated experience mentoring engineers and guiding cross-functional technical teams.

Benefits

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills & Tools

machine learningAIML infrastructureTerraformPythonPyTorchDockerKubernetesCI/CDvector databases

Soft Skills

leadershipcommunicationdocumentationstakeholder managementmentoringknowledge-sharing

Certifications

Bachelor’s in Computer ScienceMaster’s in Computer Science