Contract Data/ML Engineer-Scoring Reliability & Candidate Archetypes (Part-time)
Company:Qode
Location:Vietnam, India
Languages:English
Seniority level:Middle, 3-5 years
Experience:3-5 years
Skills:
PostgreSQLPythonSQLData MiningMachine LearningNumpyData engineeringREST APIPandasData modeling
Requirements:
3-5 years of experience in a relevant role. Proficiency in Python (pandas, NumPy, scikit-learn). Proficiency in SQL. Experience with DB migrations (e.g., Postgres). Experience with statistical resampling (bootstrap). Experience with clustering and model selection/validation. Experience with data engineering for batch jobs/backfills. Experience with API integration. Pragmatic product sense for labeling clusters and communicating uncertainty.
Responsibilities:
Ensure per-candidate, per-question, per-agent criterion scores are structured and queryable. Implement agent-level resampling to compute confidence intervals and derive stability labels. Build standardized candidate feature vectors and run clustering algorithms. Expose CI fields and cluster IDs/labels via API and internal dashboards. Write unit/integration tests, guardrails, and ensure pipeline runtime within budgets. Provide documentation covering data contracts, thresholds, and operations.
