Senior .NET / ML Engineer
Views: 54
Posted: 2026-02-20
Expires: 2026-03-06
ExpiredWeโre Hiring: Senior .NET / ML Engineer at PsychPlus (Remote, Pakistan)
Weโre looking for a Senior Data / ML Engineer who will play a critical role in strengthening our data infrastructure and integrating machine learning models into production-grade healthcare systems.
About the Role:
This role focuses on building scalable data ingestion pipelines, backend services, and ML integration workflows that power our EHR and digital health platforms. You will collaborate closely with Data Scientists to productionize machine learning models and operationalize prediction and inference workflows within our .NET ecosystem.
Key Responsibilities
Design and build scalable data ingestion pipelines (HL7, FHIR, APIs, EDI)
Develop and maintain backend services using .NET (C#) to support ML workflows
Collaborate strongly with Data Scientists to productionize machine learning models
Build services that operationalize prediction and inference workflows in real-time environments
Manage ML lifecycle processes including deployment, versioning, monitoring, and performance evaluation
Ensure secure, compliant handling of healthcare data (HIPAA standards)
Integrate third-party healthcare APIs and external data sources
Optimize systems for performance, reliability, and scalability
Contribute to architectural decisions and mentor junior engineers
Requirements
Fluent in English
Able to work during U.S. hours
Bachelorโs degree in Computer Science, Engineering, or equivalent experience
5+ years of experience in data engineering, backend engineering, or ML engineering
Strong experience with .NET (C#), ASP.NET Core, and SQL Server
Experience building RESTful APIs and distributed systems
Strong understanding of data pipelines, ETL processes, and large-scale data systems
Experience with HL7, FHIR, or healthcare interoperability standards (strong plus)
Experience with Azure (preferred), AWS, or GCP
Prior experience in regulated industries (healthcare preferred)
Strong understanding of ML lifecycle concepts such as model deployment, versioning, monitoring, and performance evaluation
If youโre excited about building intelligent healthcare systems and bringing ML models into real-world production environments, Iโd love to connect.
Share your resume at aaijaz@psychplus.com
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