Machine Learning Engineer (Contract)
Core
Develop and integrate ML and NLP models for intelligent assistant features and agentic workflows.
Role type
Machine Learning Engineer (Contract/Freelance)
Builds
Intelligent assistant features, agentic workflows, and internal tools.
Domain
Applied AI, LLM-based systems, intelligent automation.
Deliverable
production ML models | product features
Required skills
Python, agentic AI frameworks (LangChain, LangGraph), ML/NLP (transformers), ML frameworks (PyTorch, TensorFlow), prototyping tools (Streamlit, Gradio), SQL, Docker, Git, cloud basics (Azure), task estimation.
Preferred skills
Experience building data pipelines, interacting with APIs, engineering best practices.
Technologies
LangChain, LangGraph, Streamlit, Gradio, PyTorch, TensorFlow, Azure, Docker, Git, SQL.
Responsibilities
Develop and integrate ML and NLP models for intelligent assistant features; Build agentic workflows using agentic AI frameworks; Prototype user interfaces and internal tools; Collaborate with engineering and product teams to plan and deliver ML-driven features; Manage development and runtime environments using Docker; Query structured data using SQL; Contribute to model deployment and operations in a cloud environment.
Seniority
Mid-level, hands-on IC