Match Score
Against your primary resumeLogin to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Protocol Intelligence
Data-driven signals on your job's competitivenessLog in to see why each signal reads the way it does.
Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain data-transformation modules to process raw datasets for machine learning applications.
Collaborate with Subject Matter Experts and annotation teams to improve data workflows and labeling accuracy.
Design, run, and document experiments involving ML models including pre-trained and fine-tuned models on internal datasets.
Minimum Requirements
Proficient in Python or another programming language with experience in ML libraries.
Experience working with relational, NoSQL, and graph databases and strong data-processing skills including cleaning and feature extraction.
Background in data science or related field; Master’s degree preferred.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Comfortable managing hybrid ML workflows involving traditional ML, LLMs, embeddings, ontologies, and knowledge graphs.
Capable of building scalable, reusable data-processing solutions with version control using GitLab.
Able to learn quickly and apply new tools, technologies, and concepts relevant to the Data Hub technology stack.