Principal Data Scientist
Texas State Library and Archives Commision
Job Title:
Principal Data Scientist
Work Location : Location: Bellevue, WA Open for Remote / Hybrid
Open for contract
Rate: $60/HR on C2C(Payrate)
Client: LTIMindtree / Microsoft
Job Description:
Skills:
• Technical skills should include proficiency in Python, C#, .NET or equivalent languages/frameworks.
• Hands-on experience in app development using Flask/FastAPI, Django, ASP.NET, Azure PaaS services like Web apps, Function Apps, Service Bus, Event Hub, REST API, SQL and NoSQL.
• Development experience with cloud platforms such as Microsoft Azure, and SQL/NoSQL services like Azure SQL, blob/parquet, CosmosDB etc.
• Experience with software development tools such as source control systems (GIT, Azure Repos), automated build & deploy systems/pipelines (CICD), software validation systems, project tracking, and lifecycle management systems.
• Exposure to LLM-based Generative AI frameworks/platforms is a plus.
• Practical experience building analytics applications leveraging data science/machine learning models and applied AI is plus preferred.
• Experience with ML/AI platforms and APIs like Azure ML, Mlflow, Sagemaker etc. is preferred.
Principal Data Scientist
Work Location : Location: Bellevue, WA Open for Remote / Hybrid
Open for contract
Rate: $60/HR on C2C(Payrate)
Client: LTIMindtree / Microsoft
Job Description:
Skills:
• Technical skills should include proficiency in Python, C#, .NET or equivalent languages/frameworks.
• Hands-on experience in app development using Flask/FastAPI, Django, ASP.NET, Azure PaaS services like Web apps, Function Apps, Service Bus, Event Hub, REST API, SQL and NoSQL.
• Development experience with cloud platforms such as Microsoft Azure, and SQL/NoSQL services like Azure SQL, blob/parquet, CosmosDB etc.
• Experience with software development tools such as source control systems (GIT, Azure Repos), automated build & deploy systems/pipelines (CICD), software validation systems, project tracking, and lifecycle management systems.
• Exposure to LLM-based Generative AI frameworks/platforms is a plus.
• Practical experience building analytics applications leveraging data science/machine learning models and applied AI is plus preferred.
• Experience with ML/AI platforms and APIs like Azure ML, Mlflow, Sagemaker etc. is preferred.
Vacancy posted 3 days ago
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