• Take ownership of complex engineering initiatives, leading technical design, implementation, delivery, and ongoing operational excellence. • Design, build, and maintain scalable software solutions using technologies such as C#, .NET Framework, SQL Server, React, jQuery, DocumentDB (MongoDB), Azure, and related integration platforms. • Develop and support modern service architectures, including RESTful APIs, GraphQL, modular monoliths, microservices, and event- or integration-driven solutions as appropriate. • Partner closely with Architecture, Product, and DevOps to define technical solutions that are scalable, reliable, performant, secure, and aligned with platform strategy. • Provide technical leadership and guidance through solution design, code reviews, mentoring, estimation, and hands-on problem solving. • Contribute to and improve engineering practices such as CI/CD, automated testing, observability, release quality, and operational readiness using Azure DevOps and related tooling. • Apply sound engineering principles and practices such as domain-driven design (DDD), test-driven development (TDD), vertical slice architecture (VSA), and clean modular design where appropriate. • Identify and resolve system bottlenecks, reliability concerns, and performance issues across applications, services, data stores, and integrations. • Leverage AI-enabled tools such as Codex, Claude Code, or similar technologies to improve engineering efficiency and software delivery outcomes. • Collaborate effectively across teams and stakeholders to drive clear technical decisions, reduce risk, and deliver measurable results.

Role Description We are seeking a Freelance Sr-level Backend Developer (Machine Learning/Python). The role will tentatively start as soon as possible (June) and will continue through the end of the year. The role will be remote (but if it transitions to full-time, the role will be based in NYC). - 5+ years of professional experience developing software in Python, with a strong focus on machine learning and applied AI. - Hands-on experience with state-of-the-art computer vision architectures and object detection frameworks, including models such as YOLO, DETR, ResNet, and similar approaches. - Deep expertise with PyTorch, including custom model development, transfer learning, training optimization, and deployment of production-grade machine learning systems. - Hands-on experience developing, optimizing, and deploying real-time machine learning inference pipelines on custom Nvidia GPU hardware, with a strong understanding of performance tuning, memory management, latency reduction, and edge AI deployment constraints. - Proven experience developing, training, and optimizing custom classification models across a variety of machine learning techniques and model architectures. - Experience leveraging modern data annotation and labeling workflows, including open-source platforms and segmentation tools such as Meta's Segment Anything Model (SAM). - Working knowledge of AWS cloud infrastructure and services used to support machine learning workflows and deployments. - Experience operating within Agile development environments and collaborating across cross-functional teams. Qualifications - Experience developing APIs and backend services using frameworks such as Flask, Django, or similar web technologies. - Familiarity with Ruby and Ruby-based applications. - Experience working within Ubuntu Linux environments and deploying solutions to embedded or edge computing platforms. - Familiarity with containerization technologies such as Docker and related deployment workflows. Requirements - Hourly rate dependent on years of experience, $100 up to $140/hour. - Direct candidates only.

• Develop and maintain enterprise web applications using ASP.NET MVC (.NET Framework 4.8) • Develop and consume RESTful APIs using ASP.NET Web API • Build data access layers using Dapper and ADO.NET • Design and maintain SQL Server databases, stored procedures, views, and functions • Implement JWT-based authentication and role-based authorization • Write clean, maintainable, and efficient code following coding standards • Optimize SQL queries and application performance • Debug and resolve application issues across development and production environments • Collaborate with senior developers, QA engineers, UI developers, and business analysts • Participate in code reviews and implement feedback • Prepare technical documentation when required • Use AI-assisted development tools (ChatGPT, GitHub Copilot, Cursor AI) to improve productivity while reviewing and validating generated code

• Design, develop, and maintain applications using .NET (C#) in backend and React or Angular in frontend • Write and optimize complex SQL Server queries, stored procedures, and database schemas • Build and consume RESTful APIs and integrate with third-party systems • Develop and support HL7 interfaces for healthcare data exchange between clinical and administrative systems • Collaborate with cross-functional teams (product, QA, stakeholders) to translate requirements into tech solutions • Deploy and manage applications in Microsoft Azure (App Services, Azure SQL, Azure Functions, etc.) • Participate in code reviews, technical planning, and architecture discussions • Troubleshoot production issues and implement performance improvements • Support claims processing workflows and ensure data integrity across the claims lifecycle