Softcom Systems Inc
AI ML Lead
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for an AI ML Lead in Santa Clara, CA, on a contract basis. Key skills include Python, REST APIs, LangChain, and agent-based AI development. Experience with security protocols and DevOps practices is essential. Hybrid work model (3 days onsite).
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
December 5, 2025
🕒 - Duration
Unknown
-
🏝️ - Location
Hybrid
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Santa Clara County, CA
-
🧠 - Skills detailed
#Vault #Flask #MongoDB #Scala #FastAPI #BitBucket #DevOps #Jenkins #Documentation #Logging #Django #REST API #Hugging Face #Programming #IAM (Identity and Access Management) #GitHub #Langchain #Libraries #Security #Deployment #Python #AI (Artificial Intelligence) #Neo4J #Compliance #Data Privacy #ML (Machine Learning) #REST (Representational State Transfer) #Docker
Role description
Role: AI ML Lead
Location: Santa Clara, CA (Onsite Hybrid 3 Days)
Duration: Contract
Job Description:
Ability to lead the design and development using NVIDIA BluePrints NIMs NeMo frameworks and related offerings
Define and implement agentbased patterns leveraging frameworks such as using LangChain LangGraph CrewAI or Autogen or MS Semantic
Lead the integration of AI agents and GenAI functionalities with broader IT ecosystems via APIs and secure workflows
Ensure system designs meet enterprise requirements for security data privacy explainability and scalability
Develop solution blueprints and technical documentation for agentic approaches
Guide and mentor technical teams on GenAI and agentbased architectural considerations Deployment and CICD best practices
MUST Haves
Experience in Python programming along with writing REST APIs using FastAPIDjangoFlask Experience working with LangChain LangGraph libraries strong prompt engineering and toolcalling patterns
Agentic AI GenAI Application solutioningdevelopment using LangChain LangGraph CrewAI or Autogen or MS Semantic Kernel
Knowledge of Agentic AI concepts like A2A MCP
Data Stores ChromaDB vector MongoDB Neo4j
Security IAM federation Keycloak Entra ID secrets management network policies encryption complianceaware design
DevOps Jenkins or equivalent GitHubBitbucket Docker EFK logging
Secondary Skills Good to Have
Exposure to NVIDIA BluePrints NIMs and NeMo frameworks
Hugging Face ecosystem
Security SOC2ISO27001 DLPPII redaction strategies KMSKey Vault
Role: AI ML Lead
Location: Santa Clara, CA (Onsite Hybrid 3 Days)
Duration: Contract
Job Description:
Ability to lead the design and development using NVIDIA BluePrints NIMs NeMo frameworks and related offerings
Define and implement agentbased patterns leveraging frameworks such as using LangChain LangGraph CrewAI or Autogen or MS Semantic
Lead the integration of AI agents and GenAI functionalities with broader IT ecosystems via APIs and secure workflows
Ensure system designs meet enterprise requirements for security data privacy explainability and scalability
Develop solution blueprints and technical documentation for agentic approaches
Guide and mentor technical teams on GenAI and agentbased architectural considerations Deployment and CICD best practices
MUST Haves
Experience in Python programming along with writing REST APIs using FastAPIDjangoFlask Experience working with LangChain LangGraph libraries strong prompt engineering and toolcalling patterns
Agentic AI GenAI Application solutioningdevelopment using LangChain LangGraph CrewAI or Autogen or MS Semantic Kernel
Knowledge of Agentic AI concepts like A2A MCP
Data Stores ChromaDB vector MongoDB Neo4j
Security IAM federation Keycloak Entra ID secrets management network policies encryption complianceaware design
DevOps Jenkins or equivalent GitHubBitbucket Docker EFK logging
Secondary Skills Good to Have
Exposure to NVIDIA BluePrints NIMs and NeMo frameworks
Hugging Face ecosystem
Security SOC2ISO27001 DLPPII redaction strategies KMSKey Vault
