Responsibilities:
- Design develop and implement AI/ML models and algorithms using Python.
- Utilize LangChain and LangGraph for building and optimizing AI applications.
- Deploy and manage AI solutions on Google Cloud Platform (GCP).
- Collaborate with cross functional teams to gather requirements and deliver solutions that meet business needs.
- Conduct data analysis and preprocessing to ensure high quality input for AI models.
- Implement application to application (A2A) integrations and microservices architecture (MCP) for seamless functionality.
- Monitor and evaluate the performance of AI models making necessary adjustments to improve accuracy and efficiency.
- Document processes models and best practices for future reference and knowledge sharing.
- Stay updated with the latest trends and advancements in AI/ML technologies.
Mandatory Skills:
- Proficient in Python scripting.
- Experience with LangChain and LangGraph frameworks.
- Strong understanding of Google Cloud Platform (GCP).
- Knowledge of application to application (A2A) integrations.
- Familiarity with microservices architecture (MCP).
Responsibilities: Design develop and implement AI/ML models and algorithms using Python. Utilize LangChain and LangGraph for building and optimizing AI applications. Deploy and manage AI solutions on Google Cloud Platform (GCP). Collaborate with cross functional teams to gather requirements and del...
Responsibilities:
- Design develop and implement AI/ML models and algorithms using Python.
- Utilize LangChain and LangGraph for building and optimizing AI applications.
- Deploy and manage AI solutions on Google Cloud Platform (GCP).
- Collaborate with cross functional teams to gather requirements and deliver solutions that meet business needs.
- Conduct data analysis and preprocessing to ensure high quality input for AI models.
- Implement application to application (A2A) integrations and microservices architecture (MCP) for seamless functionality.
- Monitor and evaluate the performance of AI models making necessary adjustments to improve accuracy and efficiency.
- Document processes models and best practices for future reference and knowledge sharing.
- Stay updated with the latest trends and advancements in AI/ML technologies.
Mandatory Skills:
- Proficient in Python scripting.
- Experience with LangChain and LangGraph frameworks.
- Strong understanding of Google Cloud Platform (GCP).
- Knowledge of application to application (A2A) integrations.
- Familiarity with microservices architecture (MCP).
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