
Azure Cloud
6 days ago
Job Title:
Azure Cloud & AI Engineer
Location:
On-site
Employment Type:
Full-Time
Experience Level:
3+ Years
Position Overview
We are seeking a highly skilled
Azure
Cloud & AI Engineer
to design, implement, and optimize cloud infrastructure while building and deploying scalable AI/ML models. The ideal candidate will have a strong background in
Azure cloud engineering
,
AI/ML development
, and
DevOps automation
, with a passion for solving real-world business problems using modern technologies.
Core Responsibilities
Cloud Engineering & Infrastructure
- Design, implement, and maintain secure and scalable cloud environments on
Azure
. - Set up and manage virtual machines, databases, storage, and hybrid/multi-cloud solutions.
- Automate infrastructure provisioning with
Terraform, ARM templates, Ansible, PowerShell, or Python
. - Implement
IAM, encryption, firewalls, and compliance controls
(HIPAA, GDPR). - Monitor and optimize performance, cost, and usage with
Azure Monitor, Log Analytics, and Cost Management
.
AI/ML Engineering
- Build and deploy scalable
AI/ML models
for NLP, computer vision, and Generative AI use cases. - Preprocess and manage structured/unstructured datasets; develop optimized data pipelines.
- Implement
MLOps practices
for training, deployment, and monitoring using MLflow, Docker, Kubernetes, and cloud platforms (
Azure, AWS, GCP
). - Stay updated with cutting-edge AI frameworks and tools (LangChain, RAG, LLMs).
DevOps & Automation
- Integrate
CI/CD pipelines
for cloud and AI workloads. - Manage containers and orchestration tools (
Docker, Kubernetes
). - Automate deployment, scaling, and system monitoring to ensure high availability.
Collaboration & Mentorship
- Work closely with cross-functional teams including data scientists, engineers, and product managers to integrate AI solutions into business applications.
- Mentor junior engineers and contribute to knowledge sharing across the team.
Skills & Qualifications
- Strong programming in
Python
(TensorFlow, PyTorch, Scikit-learn, Pandas, NumPy). - Expertise in
Azure Cloud
services (VMs, Storage, Networking, IAM, Security). - Hands-on experience with
IaC (Terraform, ARM templates, Ansible)
. - Deep understanding of
AI/ML concepts
: supervised/unsupervised learning, deep learning, NLP, GenAI. - Proficiency with
MLOps tools
(MLflow, Docker, Kubernetes) and
vector databases
. - Knowledge of compliance standards (HIPAA, GDPR) and cloud security best practices.
- Strong problem-solving, communication, and stakeholder engagement skills.
How to Apply
Send your resume and a short cover letter to
Or apply online via:
Use the subject line: Azure Cloud & AI Engineer Role
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