We are hiring a Machine Learning & Generative AI Engineer with hands-on experience in forecasting models, RAG systems, and Dataiku platform development. The role involves building intelligent AI solutions, developing Agentic RAG workflows, and automating ML deployment pipelines.
Key Responsibilities
- Build and deploy forecasting models such as SARIMAX, XGBoost, Prophet, and Random Forest
- Develop Traditional RAG systems using LangChain, LangGraph, GPT-4.0, and FAISS
- Design Agentic RAG solutions to analyze Dataiku logs and send automated email-based resolutions
- Resolve issues related to Dataiku ML Services
- Develop and manage ETL pipelines in Dataiku for automated deployment
- Ensure model monitoring, optimization, and production stability
Required Skills
- Strong experience in Machine Learning & Time-Series Forecasting
- Hands-on experience with LangChain, LangGraph, GPT models, FAISS
- Experience building Agentic AI workflows
- Strong knowledge of Dataiku (ML Services, ETL, automation)
- Proficiency in Python
- Understanding of MLOps & deployment concepts
Experience Required
- 3+ years of experience in ML / AI Engineering
Skills: agentic rag,dataiku,machine learning,forecasting
