
Build advanced forecasting models, develop RAG systems, design Agentic AI workflows, manage ETL pipelines, ensure model stability.
We are seeking a Machine Learning & Generative AI Engineer to join our dynamic team. This role involves the development and deployment of sophisticated forecasting models, including SARIMAX, XGBoost, Prophet, and Random Forest, as well as traditional Retrieval-Augmented Generation (RAG) systems using cutting-edge tools like LangChain, GPT-4.0, and FAISS.
Your primary responsibilities will include designing Agentic RAG solutions for analyzing Dataiku logs to send automated email-based resolutions, ensuring the stability of ML services, and managing ETL pipelines within Dataiku for seamless automation. You will also be responsible for model monitoring and optimization to ensure production readiness.
As a key player in our team, you'll work closely with other engineers and data scientists to build intelligent AI solutions that drive business growth. The ideal candidate should possess strong experience in machine learning, particularly time-series forecasting, along with hands-on expertise in Dataiku (ML Services, ETL, automation) and proficiency in Python.
If you're passionate about advancing the state-of-the-art in generative AI and have a proven track record of success, we'd love to hear from you. Join us and contribute to shaping the future of intelligent computing!