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AI Engineer (Azure, Oracle DB, .NET)
Spark Tek Inc
Remote (Global) Contract Today
About the role
Job Summary
We are looking for a skilled AI Engineer with strong expertise in .NET technologies, Microsoft Azure, and Oracle Database. The ideal candidate will design, develop, and deploy AI-driven applications and services, integrating machine learning models into scalable enterprise solutions.
Key Responsibilities
- Design and develop AI/ML-based solutions using modern frameworks and tools
- Build and maintain backend services using .NET (C#, ASP.NET Core)
- Deploy, manage, and optimize applications on Microsoft Azure
- Integrate AI models into production systems and APIs
- Work with structured data stored in Oracle DB, including performance tuning and query optimization
- Collaborate with data scientists, product managers, and cross-functional teams
- Implement data pipelines and workflows for AI model training and inference
- Ensure scalability, reliability, and security of AI applications
- Monitor model performance and continuously improve solutions
Required Skills & Qualifications
- Strong experience in .NET / C# / ASP.NET Core
- Hands-on experience with Microsoft Azure services (Azure ML, App Services, Functions, Storage, etc.)
- Solid experience with Oracle Database (PL/SQL, query optimization, schema design)
- Knowledge of AI/ML concepts and frameworks (e.g., Python, TensorFlow, PyTorch, or ML.NET)
- Experience in building and consuming REST APIs
- Familiarity with microservices architecture
- Understanding of DevOps practices and CI/CD pipelines
- Good problem-solving and analytical skills
Preferred Qualifications
- Experience with Azure AI services (Cognitive Services, OpenAI, etc.)
- Knowledge of containerization (Docker, Kubernetes)
- Exposure to data engineering tools and ETL pipelines
- Familiarity with Agile/Scrum methodologies
Skills
.NETASP.NET CoreAzureAzure FunctionsAzure MLC#CI/CDCognitive ServicesDockerDevOpsETLKubernetesML.NETMicroservicesMicrosoft AzureOracle DBOpenAIPL/SQLPythonPyTorchREST APIsTensorFlow
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