ML Engineer

Requirements:
3-6+ years of experience in ML engineering, data science, model evaluation, ML QA, applied NLP evaluation, or data-heavy quality engineering.
Strong Python and data analysis skills.
Strong understanding of precision/recall/F1 calibration, confidence thresholds, dataset splits, leakage, overfitting, statistical testing, and error analysis.
Experience building evaluation pipelines, benchmark suites, test harnesses, dashboards, or regression frameworks.
Ability to work with imperfect labels, annotation disagreement, clinical ambiguity, and hidden evaluation sets.
Strong independence and judgment; ability to challenge releases when evidence is weak.
Clear written communication for release reports, incident analysis, and quality decisions.

Skills
FastAPI, GIT, Python, SQL, Evaluation, LLM, RAG

Experience
3-7 yrs