The client’s application is a powerful email marketing automation platform that allows for the creation, AB testing, and conducting of rule-based email and SMS marketing campaigns. These campaigns can be based on intricate rules and AB-tested using two or more different custom emails. The user can compose a custom email based on one of the multiple prefabricated templates or create a custom template using the platform’s Template Editor functionality. Additionally, they can illustrate the created emails with images from the application’s image repository.

The team consists of a Senior Data Scientist, 3 backend Laravel developers, 4 frontend Angular developers, a DevOps engineer, 2 email template developers, 1 manual QA engineer, and a project manager.

• Development and improvement of ML/LLM models (NLP, embedding-based search, decision pipelines).
• Building and validating agent-based scenarios (tool use, reasoning, self-evaluation).
• Analyzing large datasets in Databricks (SparkSQL, Delta Lake).
• Designing logging systems and experiment-tracking pipelines (MLflow, Weights & Biases).
• Integrating models into a multi-component environment (API, orchestration framework, vector DB).
• Optimizing inference processes and monitoring system quality in production.
• Conducting A/B experiments and performing statistical analysis of results.
• Documenting processes and participating in architectural discussions.

• 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, embeddings.
• Knowledge of MLOps tools: MLflow, Docker, CI/CD.
• Strong analytical thinking, attention to data quality, ability to work with incomplete or unstructured data sources.
• English at Upper-Intermediate level or above.

• 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.

• 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.
• Professional growth: 50% compensation for workshops and professional conferences.
• English classes (50% compensation).
• Transparent and bureaucracy-free management.