Data Scientist
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Role details
Tech stack
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Job description
Work with LLMs, embeddings, semantic search, and RAG.
Develop and deploy ML models in production.
Test and improve model accuracy and performance.
Work closely with Data Engineers, Product Managers, and Analytics teams.
Requirements
5+ years in Data Science / ML / AI / NLP.
4+ years building and deploying production ML models.
Strong Python.
Scikit-Learn, Pandas, NumPy.
PyTorch or TensorFlow.
SpaCy.
LangChain or LangGraph.
PySpark.
Strong NLP + Topic Modeling + Classification + Clustering.
Embeddings & Semantic Search.
SQL + Large-scale data processing.
AWS / Cloud experience.
Good to Have
Experience with LLMs / Prompt Engineering / Fine-tuning / Evaluation.
RAG, Vector Search, AI Agents.
SageMaker, MLflow, Kubeflow, Vertex AI, or Databricks.
Customer Experience / Contact Center / Voice of Customer analytics.
Experience with enterprise SaaS environments.
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Prepare application
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