Sr Web & Azure Machine Learning Engineer

Job Title:- Sr Web & Azure Machine Learning Engineer (Remote)

Location:- Remote

Duration:- Full time

Visa:- (try to find born citizen) (need strong communication)

MUST HAVE 10/10 COMMUNICATION

Please send me genuine and excellent profiles.

Must have Valid LinkedIn profile.

Must have excellent comms.

Linkedin Profile with picture and excellent communication skills are required

Need candidates from EST/CST Zone

Make sure candidates are fine doing small video screening with my vendor.

Don’t send job hopers, must have excellent work history.

Communication must be flawless

Must have valid LinkedIn profile with profile pic and good number of connection and must be created before 2020.

Job Description-:

Healthcare exp. is a must

This is not a Data Scientist role so don’t Data scientist candidates.

Our client has developed a new solution that enables eye doctors to remotely examine patients via video conference, controlling the phoropter at the site.  This fantastic technology consolidates images/data to provide a more comprehensive view.

Our Client is a fast-growing health-tech company modernizing eye care nationwide. We’re seeking a Senior Web & Azure ML Engineer who can own full-stack delivery and the ML lifecycle in Azure—from data to deployment—to power our Digital Tele-Optometry platform and AI features.

What You’ll Do

• End-to-end ML in Azure: Train, evaluate, and deploy models using Azure Machine Learning Studio & the Azure ML SDK (Python). Package models as real-time/batch endpoints and integrate them into ASP.NET/Core services.

• MLOps at scale: Build CI/CD for ML with Azure DevOps (pipelines, artifacts, environments).
• Responsible AI & monitoring: Performance telemetry via AML monitoring/Azure Monitor.
• Production integration: Expose model inference securely to .NET/API backends (App Service/AKS); optimize latency, throughput, and cost.
• Web application delivery: Design, build, and scale cloud-native web apps (C#/ASP.NET, SQL, JavaScript) in Microsoft Azure—including real-time experiences (SignalR).
• Operational excellence: Establish incident playbooks, logging/alerting (App Insights).
• Collaboration: Work closely with web devs, designers, and cross-functional teams to deliver new functionality for a growing, AI-enabled platform.

Tools & Stack You’ll Use

• AML (workspaces, compute, registry, endpoints), App Service/AKS, /App Insights.
• Azure DevOps (Repos/Pipelines/Boards), Git, CI/CD for app & model, Infrastructure as Code.
• JavaScript/TypeScript (frameworks as applicable).

Required Qualifications

• 7+ years building web applications (C#/ASP.NET, Web API, JavaScript/TypeScript).
• 5+ years on Microsoft Azure with production workloads (App Service, SQL, Storage, networking).
• Azure ML hands-on experience: training and deploying models with Azure ML Studio/SDK, model registry, endpoints, and monitoring.

• MLOps with Azure DevOps: pipelines for data + model CI/CD, gated releases, infrastructure-as-code (Bicep/Terraform or ARM), and secrets management.
• Data/Model fundamentals: feature engineering, evaluation, cross-validation, experiment tracking.
• SQL proficiency and production API integration of ML services into .NET apps running in Azure.
• Strong debugging/issue resolution skills across web apps and services.

Nice to Have

• Government PIV familiarity and prior US government environment exposure.
• Experience with SignalR, pub-sub architectures, embedded video conferencing, and real-time UX.
• Experience building Whisper or speech-enabled applications/pipelines.
• Telerik / Kendo / DevExpress component libraries.
• Exposure to Azure Kubernetes Service (AKS), Docker.