Azure AI ML Engineer
Matrix USA
Job Overview
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Job Description
About the Role
Matrix USA is seeking a talented Azure AI ML Engineer to design and implement enterprise‑grade AI and ML platform services across Azure and GCP. This role focuses on enabling AI/ML services, automation, and applying AIOps principles to build a scalable, secure, self‑service platform.
Roles And Responsibilities
- Demonstrate passion for Generative AI and Machine Learning.
- Apply an AIOps/MLOps mindset to build training and production pipelines.
- Collaborate with cloud, network, security, and risk teams to ensure compliance.
- Develop APIs, webhooks, ARM and Terraform templates using Python and Git Actions.
- Automate cloud operations and support CI/CD pipeline deployments.
Required Skills
Candidates must have 3+ years of experience as an AI and ML Platform Engineer and are expected to be proficient in:
- Developing platform orchestration code with Azure Python SDK, Terraform, and GitHub Runners.
- Implementing Cloud Infrastructure as Code (IaC) and CI/CD pipelines.
- Working with GenAI models and associated development frameworks like LangChain and Semantic Kernel.
- Understanding security, compliance, and risk mitigation in regulated industries.
Why Matrix?
Matrix USA is a global, dynamic, fast-growing technical consultancy with 13,000 employees worldwide. You will join a talented team that values creativity, collaboration, and a drive for innovative solutions. The work environment is challenging, with competitive compensation and rewarding career opportunities.
Key skills/competency
- Azure
- Machine Learning
- AI
- Terraform
- Python
- CI/CD
- GitHub
- DevOps
- Cloud
- Security
How to Get Hired at Matrix USA
- Customize your resume: Highlight Azure, ML, and security skills.
- Research Matrix USA: Understand their technical consultancy approach.
- Network online: Engage on LinkedIn and industry forums.
- Prepare examples: Showcase relevant AI/ML projects and CI/CD pipelines.
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