Posted:5 days ago|
Platform:
Work from Office
Full Time
LLM-based solutions
Prompt engineering
Deploying ML models as APIs
Experience with relational and NoSQL databases (Azure SQL, Cosmos DB, PostgreSQL).
Strong understanding of CI/CD pipelines and version control (Azure DevOps or GitHub).
Basic understanding of ML workflows (model training, inference, monitoring).
Experience integrating AI services for:
NLP (semantic search, summarization, entity extraction)
Chatbots / LLMs / vector embeddings
Document intelligence
Familiarity with frameworks such as PyTorch, TensorFlow, or Scikit-learn (optional).
Azure Functions
Azure App Service
Azure Kubernetes Service (AKS)
Azure API Management
Azure Logic Apps / Event Grid / Service Bus
Azure OpenAI
Azure Cognitive Services (Vision, Speech, Text Analytics)
Azure Machine Learning endpoints
Collaborate with frontend, data, and ML teams to deploy end-to-end intelligent features.
Write clean, testable, maintainable code with unit and integration tests (PyTest).
Optimize application performance, reliability, and scalability.
Visionet Systems
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