Back
Remote, mid-level ML role with popular Data Scientist title and 5+ years increases applicant competition.
Strong ML/AI and LLM deployment focus makes skills transferable but with domain-specific tooling expectations.
Explicit 5+ years requirement, mandatory ML/LLM experience and specific tech stack increases filtering strictness.
Login to See Your Match Score
Create a free account or log in to unlock your CV match score across:
Lead hands-on development and deployment of machine learning models to drive business growth and product innovation.
Partner with business leaders to champion and scale data science and AI adoption across the organization.
Monitor, maintain, and improve AI/ML systems including model validation, drift detection, and A/B testing.
5+ years professional experience building, evaluating, deploying, and monitoring ML models including deep learning.
Relevant technical degree in Computer Science, Machine Learning, Applied Mathematics, Statistics, or related field.
Advanced proficiency in Python and open-source ML frameworks (Scikit-learn, TensorFlow, Keras, PyTorch).
Strong SQL and ETL experience.
Experienced in rapid prototyping and experimental use of frontier LLMs like GPT and Claude for fast-paced innovation.
Comfortable with cloud-based deployment, model scaling, and evaluating trade-offs between on-premise and cloud solutions.
Familiarity with large enterprise B2B/B2C ML applications and working across North American time zones (PST/MST).