About This Role
As a key contributor to our team, you will play a crucial part in designing and implementing machine learning models that drive autonomous decision-making and insightful outcomes.
Main Responsibilities
* Design, develop, and deploy high-performing machine learning models for production use.
* Built ML/LLM pipelines using vector databases and popular frameworks like LangChain, LangGraph, and MCP.
* Develop strategies for optimizing LLM interactions, focusing on prompt engineering, safety, and explainability.
* Collaborate closely with data engineers to ensure seamless data pipelines support for machine learning workloads.
* Conduct feature engineering and generate embeddings from structured and unstructured data sources.
* Implement robust model monitoring, drift detection, and retraining processes.
* Stay up-to-date with emerging trends in LLM/SLM architectures and multi-agent orchestration patterns.
* Foster cross-functional collaboration with R&D, data science, product, and engineering teams.
* Mentor junior engineers and contribute to the development of best practices in machine learning engineering.