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Entry-level ML role with broad LLM/CV requirements in a metro attracts moderate applicant density.
ML engineering skills transfer across industries, but LLM/CV specialization requires some domain familiarity.
Role mandates ML/DL libraries and LLM/CV familiarity but accepts 0–1 year candidates, so moderate filtering.
Develop and fine-tune Large Language Models (LLMs) and build Computer Vision pipelines for tasks like object detection and image classification.
Design and implement data preprocessing pipelines handling structured and unstructured data.
Support training, evaluation, and deployment of ML/DL models with clean, scalable code and collaborate with senior teams on AI projects.
Graduate degree required.
0 to 1 year of relevant work experience in AI/ML development.
Proficiency in Python and libraries such as TensorFlow, PyTorch, OpenCV, or HuggingFace Transformers.
Strong foundation in Neural Networks, Deep Learning, and machine learning algorithms.
Experience or familiarity with fine-tuning and inference of LLM architectures like GPT, BERT, or LLaMA.
Understanding of Computer Vision concepts and practical use cases.
Ability to work on data pipelines and model evaluation in a research or production-like environment while collaborating with senior ML engineers.