Senior AI/ML Engineer
Senior AI/ML Engineer
Position Summary
We are seeking an experienced AI/ML Engineer to accelerate the development of reusable AI products that can be deployed across operating companies. This role will focus on building scalable, production-grade AI solutions—starting with projects involving Retrieval-Augmented Generation (RAG) and multi-agent orchestration for purposes of internal operational flows.
The ideal candidate will have deep expertise in GCP or Azure-based AI services, strong engineering skills, and a product mindset.
Key Responsibilities
Reusable AI Product Development
- Design and build modular, reusable AI components that can be scaled across business units.
- Lead development of scalable RAG-based solutions for document comparison and using structured and unstructured data.
- Engineer multi-agent systems for intelligent task coordination and decision support.
- Develop transcription and NLP pipelines for customer interaction analysis.
Model Engineering & Deployment
- Build and fine-tune models using frameworks like PyTorch, Transformers, or LangChain.
- Package models for deployment in GCP, Azure ML, and/or Databricks ensuring scalability and maintainability.
- Integrate with Databricks for data ingestion, feature engineering, and experimentation.
Collaboration & Enablement
- Work closely with MLOps, DevOps, and data engineering teams to align on infrastructure and deployment patterns.
- Contribute to shared libraries, APIs, and templates that accelerate AI product delivery.
- Provide technical guidance to teams adopting reusable AI components.
Security, Compliance & Observability
- Ensure AI products meet enterprise-grade security and compliance standards.
- Implement monitoring for model performance, data drift, and usage metrics.
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