Machine Learning Engineer
Machine Learning Engineer
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Job Description
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)
Qualifications :
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
Experience of engineering best practices: Git Docker cloud basics and task estimation
Working 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
Remote Work :
Yes
Employment Type :
Full-time
Employment Type
Remote
