Machine Learning Engineer

• Develop and integrate ML and NLP models to power intelligent assistant features 
• Build agentic workflows using LangChain, LangGraph, or similar frameworks 
• Prototype user interfaces and internal tools using Streamlit or Gradio 
• Collaborate with the engineering and product teams to plan and deliver ML-driven features 
• Work with Docker to manage development and runtime environments 
• Use Git for version control and write clean, maintainable code 
• Query structured data using SQL 
• Contribute to model deployment and operations in a cloud environment (primarily Azure) 

• Strong proficiency in Python 
• Experience with agentic AI frameworks such as LangChain or LangGraph 
• Solid understanding of machine learning and NLP fundamentals 
• Hands-on experience with ML frameworks (e.g., PyTorch, TensorFlow) 
• Familiarity with prototyping tools such as Streamlit or Gradio 
• Knowledge of engineering best practices: Git, Docker, cloud basics, and task estimation 
• Practical knowledge of SQL 
• Upper-Intermediate level of English (both written and spoken) 

WOULD BE A PLUS

• Experience with other agentic or LLM orchestration tools 
• Experience with MLOps or model deployment 
• Comfortable working in Linux terminal environments