Back
Tier-1 brand, metro location, and popular mid-level AI role drive high competition.
ML and LLM skills are broadly transferable across industries, so background fit is relatively flexible.
No explicit years but required ML/LLM skills and production experience preferences create moderate filtering.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Assist in developing, fine-tuning, and deploying generative AI models and large language models (LLMs).
Prepare and organize large datasets for training and evaluation, including data cleaning and preprocessing.
Customize retrieval-augmented generation (RAG) frameworks and collaborate with cross-functional teams to integrate AI models into applications.
Bachelor’s degree in Computer Science, Data Science, Electrical Engineering, or related field; Master’s degree is a plus.
Proficiency in programming languages such as Python and familiarity with ML frameworks like TensorFlow, PyTorch, or Hugging Face Transformers.
Basic knowledge of natural language processing techniques including tokenization, embeddings, and sequence models.
Work Experience Required: Not explicitly mentioned in the JD.
Experience or internships in AI/ML projects or coursework demonstrating practical model development skills.
Capability to experiment, optimize model performance, and stay updated on advances in generative AI and NLP.
Ability to document processes clearly and collaborate effectively with multidisciplinary teams.