
Lead Data Architect
2 days ago
Job Summary:
- We are seeking a highly skilled Lead Data Architect to design and develop AI/ML solutions using OpenAI, Claude, or other LLMs in production environments.
Key Responsibilities:
- Develop and implement Python-based APIs (REST, GraphQL) for data integration and processing.
- Collaborate with cross-functional teams to drive MLOps and CI/CD pipeline development using AWS CodePipeline, GitHub Actions, Azure DevOps.
- Stay up-to-date with the latest advancements in AI/ML frameworks (Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers) and incorporate them into projects.
- Work with data pipelines using AWS Glue, Data Factory, Databricks, or similar technologies.
- Apply agentic AI principles (LLMs, memory, reasoning, tool use, autonomy) in AiDE Agents and Model Context Protocol (MCP).
Requirements:
- 6+ years of experience in AI/ML and software development, with at least 2 years in Generative AI.
- Proven delivery of 2+ GenAI-based solutions in production environments.
- Strong proficiency in Python and API development (REST, GraphQL).
- Deep understanding of classic ML concepts: model selection, evaluation, hyperparameter tuning, bias mitigation, and interpretability.
- Experience with MLOps and CI/CD pipelines (AWS CodePipeline, GitHub Actions, Azure DevOps).
- Familiarity with AI/ML frameworks: Scikit-learn, PyTorch, TensorFlow, Hugging Face Transformers.
- Knowledge of data pipelines using AWS Glue, Data Factory, Databricks, or similar.
- Understanding of agentic AI principles: LLMs, memory, reasoning, tool use, and autonomy as applied in AiDE Agents and Model Context Protocol (MCP).
Preferred Qualifications:
- Shareable updated profile.
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