Responsibilities of the Candidate:

Assist in building and maintaining ML and basic Generative AI pipelines (data preprocessing, training, evaluation, and inference).
Support development of simple RAG-based and NLP workflows under guidance.
Work on text processing tasks such as data cleaning, parsing, chunking, and embeddings.
Contribute to backend APIs (e.g., FastAPI) to expose ML/AI functionalities.
Help integrate AI models into applications and support deployment activities.
Write clean, modular, and testable Python code following best practices.
Collaborate with senior engineers and cross-functional teams to deliver features.
Debug, test, and optimize models and pipelines for performance and reliability.
Stay updated with basic advancements in AI/ML and Generative AI.

Requirements

Bachelor's degree in computer science, IT, or related field.
1+ years of experience or strong academic/project background in AI/ML.
Good programming skills in Python and strong problem-solving ability.
Basic understanding of ML concepts, NLP, and model evaluation.
Exposure to libraries such as NumPy, Pandas, scikit-learn, or PyTorch/TensorFlow.
Familiarity with Generative AI concepts (LLMs, prompt engineering, or RAG is a plus).
Basic understanding of APIs and backend development.
Exposure to cloud platforms (AWS/Azure) is a plus.
Knowledge of Git and basic software development practices.
Willingness to learn, adapt, and work in a fast-paced environment.