About the Position
We are seeking a highly skilled professional to lead our artificial intelligence development team. The ideal candidate will have extensive experience in designing, training, and deploying machine learning models for production use cases.
Key Responsibilities
* Model Development: Design, train, fine-tune, and deploy ML/LLM models using various frameworks and tools.
* RAG Pipeline Construction: Build robust RAG pipelines using vector databases and popular frameworks such as LangChain, LangGraph, and MCP.
* Prompt Engineering: Develop advanced prompt engineering techniques, optimization strategies, and safety protocols for agentic LLM interactions.
* Data Collaboration: Collaborate closely with data engineers to maintain efficient data pipelines for ML workloads.
* Feature Engineering: Conduct thorough feature engineering and embeddings generation on both structured and unstructured data.
* Model Monitoring: Implement comprehensive model monitoring, drift detection, and retraining pipelines to ensure optimal model performance.
* Emerging Technology Exploration: Investigate cutting-edge LLM/SLM architectures and multi-agent orchestration patterns to drive innovation.
* Team Collaboration: Foster strong relationships with cross-functional teams, including R&D, data science, product, and engineering groups.
* Mentorship: Provide guidance and support to junior engineers, promoting best practices in ML engineering throughout the organization.