AI/ML Architect

AI/ML Architect

Dallas, TX

Contract Opportunity

Job Description :

Seeking a Software Engineer to design and build out solutions to solve for real-world business research and problems.

Design end-to-end AI and machine learning system architectures, including data pipelines, model development, deployment, and monitoring.

• Collaborate with business stakeholders to understand requirements and translate them into technical AI/ML solutions.
• Evaluate and select appropriate AI/ML frameworks, tools, and platforms.
• Define best practices and standards for AI/ML model development, testing, and deployment.
• Lead and mentor data scientists, ML engineers, and software developers in implementing AI solutions.
• Ensure AI/ML systems are scalable, secure, and maintainable.
• Oversee integration of AI/ML models with existing IT infrastructure and applications.

Key Responsibilities:

• Design, build, and maintain scalable production systems and APIs maintaining our cloud-native microservices-based API solutions. You will work closely with cross-functional teams to build robust, scalable, and highly available APIs on the Azure platform using .NET 6.0 or later.
• Design, implement, and maintain RESTful APIs and microservices using .NET 6.0 or later, with a primary focus on Azure Functions.
• Work across the full technology stack, from backend services to front-end applications
• Collaborate cross-functionally to ensure engineering solutions align with business goals

What We re Looking For:

• Self-starter who thrives in fast-paced, ambiguous environments. Comfortable taking ownership, partnering with business partners, and driving results without needing step-by-step instructions.
• Technical Excellence: 5+ years of professional experience building and maintaining production-grade software systems. Strong engineering fundamentals and sound decision-making.
• Full-Stack Development Skills: Experience with REST APIs, web frameworks, and relational databases. Proficient in modern backend languages and cloud-based infrastructure.
• Microservices Architecture: Develop and optimize microservices-based solutions, ensuring modularity, scalability, and resilience.
• Azure Integration: Leverage Azure services, including Azure Functions, Azure API Management, and other Azure components, to build and manage cloud-native APIs.
• Code Quality: Enforce best practices for coding standards, testing, and documentation to ensure the reliability and maintainability of the codebase.
• Performance Optimization: Monitor, diagnose, and optimize API performance to deliver a seamless user experience.
• Security: Implement security best practices to protect APIs from vulnerabilities and threats.

Collaboration: Collaborate with product managers, frontend developers, and other stakeholders to define API requirements and ensure successful integration with frontend applications.

Documentation: Create and maintain clear and concise technical documentation, including API specifications and usage guidelines.

Qualifications:

• Bachelor's degree in Computer Science, Software Engineering, or related field (or equivalent experience).
• Proven experience as a .NET API Developer with a strong focus on Azure Functions and microservices.
• Proficiency in C#, .NET 6.0 or later, and RESTful API design.
• Deep knowledge of Azure services and serverless architecture, especially Azure Functions and Azure API Management.
• Familiarity with CI/CD pipelines and version control (e.g., Git).
• Strong problem-solving and debugging skills.
• Excellent communication and teamwork abilities.

Thank you,

Network Pedia, Inc