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Early-mid ML role in a metro with broad AI skills increases applicant density moderately.
Core ML and Python skills transfer across industries, so background sensitivity is low.
Explicit 1–4 year requirement plus mandatory ML frameworks, LLM and API skills increases candidate filtering strictness.
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Develop, train, evaluate, and optimize AI and Machine Learning models using Python and modern AI frameworks.
Build and integrate AI-powered solutions including REST APIs with FastAPI, Flask, or Django for web and enterprise systems.
Work with Generative AI, Large Language Models, Prompt Engineering, and AI APIs on live international projects.
1 to 4 years total experience, with 6 months to 2 years in Python, AI, or Machine Learning development.
Graduate degree or equivalent (B.E., B.Tech, MCA, M.Sc. IT/CS/AI/Data Science, BCA) or any UG degree as minimum qualification.
Strong experience with Python, OOP, data structures, and libraries like NumPy, Pandas, Scikit-learn, TensorFlow, or PyTorch.
Experience with FastAPI, Flask, or Django; knowledge of SQL, REST APIs, JSON, and Git/GitHub.
Experience working on live, international AI/ML projects with exposure to Generative AI and LLM technologies such as LangChain or OpenAI APIs.
Demonstrated ability to produce clean, scalable code and integrate AI models into applications and enterprise systems.
Comfortable using AI development tools (e.g., ChatGPT, GitHub Copilot) and capable of multitasking and meeting project deadlines in a fast-paced environment.