TL;DR

Middle Data Scientist (AI): Development and improvement of ML/LLM models, building agent-based scenarios, and analyzing large datasets with an accent on NLP, embedding-based search, and decision pipelines. Focus on integrating models into multi-component environments, optimizing inference, and conducting statistical analysis of results.

Location: Remote, with preference for candidates based in Kyiv or Warsaw.

Company

%hirify_global% provides a powerful email marketing automation platform that allows for the creation, AB testing, and conducting of rule-based email and SMS marketing campaigns.

What you will do

Develop and improve ML/LLM models (NLP, embedding-based search, decision pipelines).
Build and validate agent-based scenarios (tool use, reasoning, self-evaluation).
Analyze large datasets in Databricks (SparkSQL, Delta Lake).
Design logging systems and experiment-tracking pipelines (MLflow, Weights & Biases).
Integrate models into a multi-component environment (API, orchestration framework, vector DB), optimize inference, and monitor system quality.
Conduct A/B experiments and perform statistical analysis of results.
Document processes and participate in architectural discussions.

Requirements

2–4 years of experience as a Data Scientist / ML Engineer.
Strong proficiency in Python, PySpark, and SQL.
Experience developing and deploying ML models in cloud environments (Databricks, AWS, GCP).
Good knowledge of ML and NLP libraries (Scikit-learn, Transformers, LangChain, llama-index).
Understanding of LLM system architecture, RAG pipelines, and embeddings.
Knowledge of MLOps tools: MLflow, Docker, CI/CD.
Strong analytical thinking and attention to data quality.
English: B2+ required.

Nice to have

Experience with multi-agent frameworks (AutoGen, CrewAI, LangGraph).
Knowledge of cloud orchestration (Airflow, Prefect, Lakehouse architecture).
Master’s degree in Data Science, Computer Science, or related fields.

Culture & Benefits

Competitive salary and benefits package.
Flexible working hours to maintain work-life balance.
20 working days of annual vacation + paid state holidays.
Paid sick leave.
Personal laptop with all necessary software.
Support services: corporate accountant, lawyer, and psychologist.
50% compensation for workshops, professional conferences, and English classes.
Transparent and bureaucracy-free management.