AI/ML Engineer
eTeam
Data Analyst
Skill Set: Data Science & Analytics
Mandatory Skills:
- 5 years of experience across data science, data engineering, or analytics — with at least 2 years in a retail or consumer goods environment
- Strong proficiency in SQL and Python (pandas, scikit-learn, statsmodels, or similar)
- Familiarity with causal inference methods and experiment design
- Familiarity with building and maintaining data pipelines (Airflow, dbt, Spark, or similar)
- Practical experience building or deploying AI agents or LLM-powered applications
- Familiarity with knowledge graph technologies (RDF, property graphs, Neo4j)
- Experience with data governance practices — data quality, metadata management, or data stewardship
- Ability to communicate complex findings clearly to non-technical stakeholders
Good to Have Skills:
- Experience with multi-agent frameworks (Claude Agent SDK, LangGraph, CrewAI, or similar)
- Exposure to ontology design or entity resolution in a retail context
- Familiarity with data governance frameworks (DAMA-DMBOK or similar)
- Graph query languages (SPARQL, Cypher)
- Cloud data platform experience (Snowflake, BigQuery, Databricks)
Vacancy posted 3 days ago
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