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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)

Vendor Billing range (share in local currency): *

Work Location (with Zip code of onsite): 94085

Client Interview / F2F Applicable: Yes/Online

Vacancy posted 4 days ago
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