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Popular ML trainee role attracts many applicants despite small-company signal.
Python, SQL and ML fundamentals are broadly transferable across industries.
No explicit years or certifications and only basic technical requirements, so filters are loose.
Work on AI/ML development tasks focusing on generative AI and LLM-based applications.
Implement features using Python programming involving data structures, OOP, and exception handling.
Contribute to backend components involving REST APIs and database integrations.
Interest and basic understanding of AI/ML concepts including supervised and unsupervised learning.
Knowledge of Python programming including data types, functions, OOP, and exception handling.
Understanding of SQL and relational databases such as MySQL or PostgreSQL.
Work Experience Required: Not explicitly mentioned in the JD.
Familiarity with AI/ML frameworks like LangChain, LangGraph, or LlamaIndex and LLM platforms such as OpenAI or Google Gemini is advantageous.
Experience through internships, academic projects, or personal projects in AI/ML, Generative AI, NLP, or Python development.
Ability to work on analytical and problem-solving tasks within backend and AI development contexts.