Spark Tek IncRemote
AI Engineer (Azure, Oracle DB, .NET)
United States of America
Full Time
3 weeks ago
H1B Sponsor Likely
Key skills
.NETC#ASP.NET CoreMicrosoft AzureAzure MLAzure App ServicesAzure FunctionsAzure StorageOracle DatabasePL/SQLQuery optimizationSchema designAI/ML conceptsPythonTensorFlowPyTorchML.NETREST APIsMicroservices architectureDevOps practicesCI/CD pipelinesAnalytical skillsCSQLAIMachine LearningMLOpenAIETLData EngineeringSparkASP.NETAzureKubernetesDockerOracleAgileScrumCI/CD
About this role
Spark Tek Inc is seeking a skilled AI Engineer with expertise in .NET technologies, Microsoft Azure, and Oracle Database. The role involves designing, developing, and deploying AI-driven applications and services, integrating machine learning models into scalable enterprise solutions.
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
Requirements:
- 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
- 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