Data Science


GTSS Inc
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Job Details
Skills
- Data Science
Summary
Client Job Description: We are looking for 8+ Years of experienced Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol. Expertise in AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering. Strong programming skills in at least two of the following: Python, Java, Go. Proficiency in deploying solutions on Azure Cloud. Experience with databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus). Proven ability to design and manage Azure Functions and Azure Container Apps. Strong understanding of cloud-native architecture, scalability, and performance optimization.
Must Have Skills
Skill 1 – Yrs of Exp – 12+ - Data Science - Agentic Layer A2A frameworks and MCP Protocol
Skill 2 - Yrs of Exp – 6+ - AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering
SKill 3 - Yrs Of Exp - 6+ - programming skills in at least two of the following: Python, Java, Go. Proficiency in deploying solutions on Azure Cloud
SKill 4 - Yrs Of Exp - 6+ - databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus)
Skill 5 - Yrs of Exp - 6+ - ability to design and manage Azure Functions and Azure Container Apps & cloud-native architecture, scalability, and performance optimization
Domain Experience (If any ) – Good to have healthcare experience
Must have Certifications – None
Prior UST experience –
If Yes – provide dates , details of account/project
Location - Woodland Hills, C
- Dice Id: 10110952
- Position Id: 9013468
- Posted 3 days ago
Company Info
About GTSS Inc
"If you want to build something big, you have to start with a small step!"
Beginning 2003, GTSS has been a leader in providing flex staffing solutions for Fortune 500, SMBs and startups from a single resource to a full-fledged project team for their long term innovation programs. Given the scarcity of emerging technology skills and full stack developers we offer ‘uberisation of talent’ providing an effective and efficient staffing model for business to be agile and build teams as and when they want.


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