Back
Mid-level ML/AI role in a metro with a common Data Scientist title and 2+ years experience attracts strong applicant competition.
ML/LLM expertise is transferable across industries but requires specialized technical experience.
Mandatory 2+ years plus specialized LLM, deep learning, and vector DB requirements raise filter strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Develop, optimize, evaluate, and deploy AI/ML algorithms and statistical models into production environments to extract actionable insights from complex data.
Design and implement testing frameworks to validate and improve model accuracy and reliability.
Collaborate cross-functionally to integrate data-driven solutions and maintain data governance compliance.
Minimum 2+ years of analytics and data science experience focusing on AI and Advanced Analytics projects.
Strong expertise in Deep Learning frameworks and NLP techniques including SVM, LSTM, Transformers, Neural Networks.
Hands-on experience with Large Language Models, including fine-tuning open source models and prompt engineering.
Proficiency in Python and machine learning libraries such as NumPy, SciPy, and scikit-learn.
Experience handling large, complex, and unstructured datasets with a focus on deploying scalable AI/data science solutions.
Familiarity with vector databases, langchain framework, and data embeddings indicating strong practical knowledge of modern AI tooling.
Demonstrated ability to innovate through R&D, stay current with data science advancements, and apply them to solve intricate business problems.