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Medium — mid-level ML role with common skillset but modest company brand and niche agent requirements.
Medium — core ML and Python skills are transferable, while agent and deployment experience is somewhat specialized.
Medium — explicit 2+ years and mandatory Python, ML, API, and agent-tool experience.
Develop, train, deploy, and optimize machine learning models using frameworks like TensorFlow, PyTorch, or Scikit-learn.
Build AI agents capable of autonomous decision-making and multi-step task execution using tools such as LangChain, AutoGPT, or similar.
Design and implement REST APIs or backend services for model integration and ensure seamless deployment in production environments.
Bachelor’s or Master’s degree in Computer Science, IT, or related field.
Minimum 2 years of hands-on experience in Python development and machine learning.
Experience with AI agent tools such as LangChain, AutoGPT, OpenAI APIs, or Pinecone.
Proficient in API development using frameworks like Flask, FastAPI, or Django.
Experienced in developing scalable AI/ML solutions with a focus on task automation through AI agents.
Demonstrates strong foundation in algorithms, data structures, mathematics, and model evaluation methods.
Capable of writing clean, maintainable Python code and integrating machine learning models into backend services efficiently.