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)

Machine Learning Engineer

AI/ML Engineer

Middle/Senior ML Engineer, GenAI

Machine Learning Engineer, Deep Learning, NLP, LLMs