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Tier-1 brand, metro location, popular ML role with broad requirements increases candidate competition.
Core ML/AI skills are broadly transferable across industries with low domain specificity.
Moderate filtering by ML skills, frameworks, and degree, but no strict years requirement.
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Assist in development, fine-tuning, and deployment of generative AI and large language models.
Prepare and preprocess large datasets for model training and evaluation; customize and optimize RAG frameworks.
Collaborate with cross-functional teams to integrate AI models into applications and maintain documentation of model work and findings.
Bachelor’s degree in computer science, data science, electrical engineering, or related field; master’s degree is a plus.
Proficiency in Python and familiarity with ML libraries/frameworks such as TensorFlow, PyTorch, Hugging Face Transformers.
Basic knowledge of NLP techniques like tokenization and embeddings.
Work Experience Required: Not explicitly mentioned in the JD.
Has experience or coursework in AI/ML projects related to generative AI or LLMs.
Understands and applies mathematics and statistics fundamentals within AI model development.
Can work effectively in dynamic teams and communicate technical concepts clearly to diverse stakeholders.