Let’s Connect You With Certified and Industry-Focused Azure AI Engineers!
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Skills & Experience Snapshot
- Experience: 6+ years
- Location: Eastern Europe (flexible and remote-friendly)
- Level of English: Upper-Intermediate (B2)
- Available for: Dedicated teams (full-time) and & FLEX (part-time) cooperation
Here are Anastasiya’s critical skills — a competent Azure AI professional ready to help you build scalable, cloud-native, and production-grade ML solutions on Microsoft Azure.
Azure AI Developers Professional Highlights
Scalable ML Systems on Azure
✔ Designs and manages Azure ML workspaces and scalable compute clusters
✔ Builds and automates training pipelines with Azure ML and Data Factory
✔ Implements model monitoring and versioning with MLflow and Azure tools
✔ Integrates models into production using REST endpoints and CI/CD pipelines
Tools and Platforms Anastasiya Uses
✔ Python, Bash, SQL
✔ Azure Machine Learning, TensorFlow, PyTorch, Scikit-learn
✔ Docker, Kubernetes, Azure Functions, Azure Kubernetes Service (AKS)
✔ MLflow, Weights & Biases, DVC
✔ Terraform, Azure Resource Manager (ARM)
Production-Ready AI on Microsoft Azure
✔ Deploys models using Azure Machine Learning endpoints or Azure Kubernetes Service (AKS)
✔ Creates RESTful APIs with Azure Functions and API Management
✔ Implements CI/CD pipelines for data preprocessing, training, validation, and deployment
✔ Architects cloud-native AI solutions optimized for performance and cost
Collaboration & Communication Skills
✔ Clearly translates business requirements into scalable Azure AI solutions
✔ Collaborates cross-functionally with data scientists, engineers, and stakeholders
✔ Communicates design decisions with clarity across technical and non-technical teams
✔ Facilitates smooth handoffs between the development and deployment phases
How Azure AI Specialist Elevates Your Cloud Strategy
This high-quality Azure AI professional is focused on your business goals, delivering consistent performance, cost-efficiency, and measurable business value in production.
Builds Smart AI Workflows on Azure
Designs and automates full ML workflows using Azure Machine Learning, helping you go from raw data to insights and predictions — all in the cloud.
Streamlines Training and Deployment
Uses Azure ML Pipelines to automate model training, tuning, and rollout, reducing time-to-production while keeping your experiments traceable and reproducible.
Optimizes Cloud Infrastructure for ML
Sets up cost-efficient compute environments using Azure Virtual Machines, Kubernetes Service (AKS), and GPU nodes, ensuring your AI workloads scale with demand.
Secures Your ML Systems by Design
Implements enterprise-grade identity, access, and encryption practices using Azure Key Vault, RBAC, and VNETs to protect sensitive models and data.
Keeps Models Accurate and Healthy
Monitors model performance with Azure Monitor and ML drift detection tools. Flags issues early and kicks off retraining workflows automatically.
Delivers Scalable AI Apps and APIs
Deploys machine learning models as RESTful endpoints on Azure. Ensures your AI is always available, responsive, and easily integrated into business apps.
Real-World Impact of Azure AI Engineers Work
1
Predictive Maintenance System for Manufacturing
Reduced unplanned equipment downtime by 38% across 4 manufacturing sites.
2
Churn Prediction Model for Telecom
Helped cut churn by 16% and enabled 18% more targeted retention campaigns.
3
Personalized Learning Engine for EdTech
Personalized 25,000 content suggestions monthly and increased course completion rates by 21%.
Collaboration Format with Azure AI Developer
Azure Cloud AI Development Stack
Languages:
- Python
- SQL
- Bash
- YAML
Azure Services:
- Azure Machine Learning
- Azure Functions
- Azure Blob Storage
- Azure Kubernetes Service (AKS)
- Azure Data Lake
- Azure Synapse Analytics
- Azure Monitor
ML Lifecycle Management:
- Azure ML Pipelines
- Azure ML Model Registry
- Azure ML Studio
- Azure Event Grid
Model Packaging & Delivery:
- Docker
- AKS
- Azure Container Instances (ACI)
Cloud Setup Automation:
- ARM Templates
- Bicep
- Terraform
Other Talented Azure AI Experts to Work With
Meet more skilled Azure AI engineers with strong domain expertise, ready to join your team and deliver cloud-optimized, production-ready solutions.
Yaroslav K.
Azure AI Platform Engineer
6+ years
Technology Stack:
- Python
- Azure ML
- Azure Functions
- AKS
- Blob Storage
- Data Factory
- Power BI
- Terraform
- +4
industry Expertise:
- Manufacturing
- Energy
Kyiv, Ukraine
Martynas Z.
Cloud AI Solutions Architect
8+ years
Technology Stack:
- Python
- Azure Synapse Analytics
- Azure Data Lake
- MLflow
- Docker
- Azure Functions
- Key Vault
- +6
industry Expertise:
- EdTech
- Telecom
Vilnius, Lithuania
Olena R.
AI Integration Specialist on Azure
7+ years
Technology Stack:
- Python
- Azure ML Studio
- Cognitive Services
- Logic Apps
- Azure Databricks
- Kubernetes
- ARM Templates
- +5
industry Expertise:
- Healthcare
- Retail
Lviv, Ukraine
Zornytsa P.
ML Ops & AI Automation Engineer
6+ years
Technology Stack:
- Python
- Azure DevOps
- Azure Machine Learning
- DVC
- FastAPI
- Application Insights
- Bicep
- +4
industry Expertise:
- SaaS
- E-Commerce
Sofia, Bulgaria
Benefits of Mobilunity
200+ certified Azure AI devs
Pre-screened by skilled tech recruiters.
Up to 2X lower development costs
Due to access to seasoned Azure talent in top tech hubs.
3-6 weeks to hire
Experienced, culture-fitting Azure AI experts.
150+ companies
In 20+ countries trust our service.
5+ years of experience
And English proficiency are typical among our candidates.
93% of our developers
Pass probation and spend 3+ years with a client on average.
Average Salary for Middle Developers ($)
USA- ML Specialist
Remote (Global)- ML Specialist
Europe- Azure Cloud Engineer
Ukraine- Cloud Engineer
Reasons to Hire Azure AI Developers With Us
Up to 50% of Cost Savings
With access to remote-ready, qualified professionals based in popular tech hubs, we help you cut your development expenses by 30-50% compared to hiring locally.
Flexible Engagement
Start by hiring an Azure AI expert for 5-10 hours a month and scale up to 3-5 or more full-time developers. Easily adjust the team size based on your project needs.
Long-Term Relationships
Our growth is tied to your success, fostering mutually beneficial and strategic collaboration. The result is an average client partnership duration of 4.2 years.
Up to 2X Faster Hiring
We leverage proven strategies to engage remote experts, reducing the hiring timeline by up to 50% compared to in-house recruitment.
Effective Talent Retention
Mobilunity maintains ongoing engagement with developers, supporting their motivation, productivity, and stability within your project.
Full Back-Office Support
While you focus on the Azure AI project, we handle all administrative tasks for your tech team. These include legal, accounting, HR, and IT helpdesk support.
FAQ on Engaging an Azure AI Developer With Mobilunity
Our Expert Insights
Client Testimonial
Mobilunity provides an excellent and efficient tech talent service. All my staffing requests, even for niche technologies, were fulfilled in a 2 to 4-week time period, with top-notch candidates. Besides that, I like the caring environment that the Mobilunity team provides for the developers and ensures that everybody is able to work without distractions.
I strongly recommend Mobilunity as a tech talent partner!
Waldemar Biller
Head of Technology
Global Tech Talent solutions from Mobilunity:
Fulltime dedicated teams, FLEX on-demand model, consultancy, recruitment, EOR