Machine Learning Researcher

Our client is a performance-driven digital marketing provider specializing in lead generation and conversion optimization. They help businesses grow by combining data-based insights, advanced marketing tools, and high-performing funnels across multiple industry verticals.

Role Summary

Develops, trains, and evaluates ML models — especially tabular, predictive, and ranking models — and contributes directly to production-first modeling efforts across the funnel.

Minimum Requirements (Must Have)

• Strong hands-on experience with tabular ML models (XGBoost, LightGBM, CatBoost, logistic regression, etc.)
• Proven experience with data wrangling, feature engineering, and dataset preparation
• Experience training, tuning, and evaluating models at scale
• Solid understanding of model validation
• Strong Python skills and familiarity with ML libraries
• Ability to translate hypotheses into measurable experiments
• Experience working closely with data engineering pipelines

Preferred Qualifications (Nice to Have)

• Experience with inference engineering: packaging models, building inference endpoints, optimizing latency
• Exposure to model monitoring: drift, data quality checks, performance monitoring
• Experience with containerization (Docker) and serving frameworks (FastAPI, Flask, TorchServe, Bento, etc.)
• Experience deploying ML models in production environments
• Prior experience with ranking, scoring, or optimization models

We offer:

• Remote-first model of work;
• Cooperation under the FOP model/B2B contract; — Paid vacation (18 working days per year); — Paid sick leaves (10 days per year); — Paid medical insurance after the probation period; — English-speaking clubs.