Hi,
Hope all is well, Please revert me with an updated resume if you would like to apply for this role,
Title : AI/ML Architect(On-site)
Duration : 6+ Months
Location : Dallas, TX (Local candidates only)
Note : Onsite interview required
Job Description:
We're looking for an AI/ML Architect with deep .NET engineering roots to design, build, and scale intelligent systems that tackle real-world business and research challenges. This is a hands-on architecture role—perfect for someone who loves shaping systems end to end, from raw data to production-grade AI. You won't just design models—you'll design solutions.
About the Role
Architect end-to-end AI and Machine Learning systems, spanning data pipelines, feature engineering, model training, deployment, monitoring, and lifecycle management.
Responsibilities
- Translate ambiguous business and research problems into clear, scalable AI/ML architectures.
- Design and implement cloud-native microservices and RESTful APIs using .NET 6+, with a strong focus on Azure Functions.
- Integrate AI/ML models seamlessly into existing enterprise platforms and applications.
- Ensure systems are scalable, secure, resilient, and observable from day one.
How You'll Lead
- Partner closely with business stakeholders, data scientists, and engineers to turn ideas into production-ready AI solutions.
- Evaluate and select the right AI/ML frameworks, tools, and platforms—balancing innovation with enterprise readiness.
- Define and champion best practices for model development, testing, versioning, deployment, and monitoring.
- Provide technical leadership and mentorship, guiding teams through architectural decisions and implementation details.
- Establish MLOps standards, CI/CD pipelines, and governance models to ensure repeatability and reliability.
Qualifications
- Strong .NET engineering and architecture experience (C#, ASP.NET Core, REST APIs, microservices).
- Proven experience designing and deploying AI/ML systems in real-world environments.
- Hands-on experience with Azure, especially Azure Functions and cloud-native patterns.
- Solid understanding of data pipelines, model lifecycle management, and MLOps.
- Ability to communicate complex ideas clearly—to engineers, data scientists, and business leaders alike.
- A builder's mindset with an architect's vision.
Why This Contract
This is a high-impact, 6+ month engagement where your architectural decisions will directly influence how AI is embedded across the organization. You'll move fast, solve meaningful problems, and leave behind systems that last.
If you are interested, please share your updated resume and suggest the best number & time to connect with you
Thanks & Regards
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Himanshu Gupta |
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