Back
Mid-level ML role, metro location, popular Data Scientist title, and notable employer increase applicant competition.
Role requires applied ML/LLM specialization, transferable across industries but demands strong ML background.
Explicit 3+ years applied ML requirement, specific ML frameworks and cloud familiarity make filters stringent.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Contribute to development, fine-tuning, and evaluation of large language models (LLMs) within GenAI Center of Excellence.
Design and implement experiments and fine-tuning workflows using Python and ML frameworks under senior guidance.
Support benchmarking, model performance analysis, data preprocessing, and documentation for AI model projects.
Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, or related technical field.
0-7 years overall IT experience, including 3+ years in applied machine learning/data science (internships and academic research included).
Proficiency in Python and experience with ML frameworks like PyTorch or TensorFlow.
Familiarity with LLM architectures, fine-tuning techniques, evaluation metrics, cloud AI/ML services (AWS, Azure, or GCP), and MLOps practices.
Early-career data scientist focused on applied ML and generative AI model experimentation and evaluation.
Experienced working in structured, supervised environments with mentorship from senior data scientists.
Comfortable working on-premise and engaging with state-of-the-art methodologies and AI research advancements.