Data Scientist / Machine Learning Engineer

We are looking for a Mid–Senior Data Scientist / Machine Learning Engineer to build AI-driven models, develop data pipelines, and enhance analytical capabilities across the organization. The ideal candidate can create end-to-end ML solutions, work with embeddings and AI APIs, and deploy models in Azure environments. This role requires a strong analytical mindset, fast execution, and excellent communication skills.

Responsibilities

• Build and deploy machine learning models to support business and product decisions.

• Develop Python-based data pipelines and ETL workflows.

• Work with Azure ML, Databricks, and cloud-based data platforms.

• Use embeddings, LLM APIs, and vector search techniques when applicable.

• Analyze, clean, and structure large datasets for modeling.

• Collaborate with cross-functional teams to define data requirements.

• Monitor model performance and retrain as needed.

• Support automation and data ingestion (scraping, batch pipelines).

• Present findings and recommendations to technical and non-technical stakeholders.

Requirements

• 3–6+ years of experience as a Data Scientist or ML Engineer.

• Strong expertise in Python (Pandas, NumPy, scikit-learn).

• Experience with Azure ML, Databricks, or similar cloud ML platforms.

• Solid skills in SQL, data modeling, and ETL pipelines.

• Experience working with embeddings, AI APIs (OpenAI, Anthropic), or vector databases (preferred).

• Ability to deploy and maintain ML models in production.

• Familiarity with data scraping and automation tools.

• Strong communication and analytical skills.

• English B2+