ML / DS Engineer (XRM)

Requirements: Stack: Languages: Python, SQL. ML stack: scikit-learn, LightGBM, PyTorch, MLflow. AI/LLM stack: APIs, embeddings, vector databases, LLM orchestration, evaluation, observability. Data stack: ClickHouse, PostgreSQL, MongoDB, AirFlow. Infrastructure: Docker, Git, CI/CD. BI: Superset, Tableau-will be a plus. Experience in designing, developing, deploying to production, and post-launch evolution of ML/AI solutions, including AI / LLM use cases. Practical experience in building AI/LLM systems: assistants, copilots, retrieval QA, extraction / summarization, RAG, orchestration, evaluation, guardrails, observability. Experience evaluating the impact of solutions on business metrics through A/B tests, holdout, uplift approaches, or other methods for assessing incremental impact. Understanding of data quality control and production monitoring processes: drift, data quality, training-serving skew, scoring stability, post-launch monitoring. Experience building ML/AI scenarios that impact business metrics: uplift, churn, propensity, reactivation, recommendations, next-best-action. Experience with embeddings and vector databases. Will be a plus: Experience designing RAG scenarios, evaluation pipelines, guardrails, and observability for AI/LLM solutions. Experience with safe rollout practices: canary, fallback, rollback, post-launch monitoring.

**Location:**📍For Armenia and Georgia - office, hybrid. For Poland - remote.

Contact for application: recruiter contact