Back
Strong Tier-1 brand, metro location, generalist ML title, and broad skill requirements increase competition.
ML and NLP skills transfer across industries, but LLM specialization and production deployment needs create moderate domain sensitivity.
Requires specific ML/AI technical skills and frameworks but has no explicit years requirement, indicating medium strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Assist in development, fine-tuning, and deployment of generative AI and large language models.
Clean and preprocess large datasets; customize Retrieval-Augmented Generation (RAG) frameworks.
Conduct experiments to validate model performance and collaborate with teams to integrate AI models into applications.
Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or related field.
Proficiency in Python; familiarity with ML libraries/frameworks like TensorFlow, PyTorch, Hugging Face Transformers.
Basic knowledge of NLP techniques such as tokenization and embeddings.
Work Experience Required: Not explicitly mentioned in the JD.
Has foundational understanding of AI/ML model development combined with data preparation and performance optimization.
Capable of conducting model validation experiments and staying updated with latest AI/NLP research.
Experience or coursework in deploying AI/ML models and collaborating across functional teams.