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Tier-1 employer, metro location, and mid-level ML role create high applicant competition.
Specialized generative AI and LLM skills limit easy cross-industry transferability.
Explicit 5+ years and required ML/LLM skills create moderate to strict candidate filters.
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Assist in development, fine-tuning, and deployment of generative AI and large language models.
Clean, preprocess, and organize large datasets; customize and fine-tune RAG frameworks for projects.
Conduct experiments to validate model performance; optimize model efficiency and collaborate with 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 like Python and familiarity with ML libraries/frameworks (TensorFlow, PyTorch, Hugging Face).
Basic knowledge of NLP techniques (tokenization, embeddings, sequence models).
Work Experience Required: 5+ years in data science, machine learning, or related field.
Experienced in AI/ML projects with a strong foundation in mathematics, statistics, and data analysis tools.
Ability to conduct research-driven experimentation and communicate complex technical concepts effectively.
Comfortable working collaboratively in cross-functional, dynamic team environments and keeping up-to-date with latest AI and NLP advancements.