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Key skills for this role
ML Frameworks: Scikit learn, TensorFlow / PyTorch
GenAI / LLMs: OpenAI / Azure OpenAI, LangChain, vector databases
Data Engineering: ETL pipelines, data modeling, data validation
Cloud: Azure / AWS / GCP (at least one)
ML Frameworks: Scikit learn, TensorFlow / PyTorch
GenAI / LLMs: OpenAI / Azure OpenAI, LangChain, vector databases
Data Engineering: ETL pipelines, data modeling, data validation
Cloud: Azure / AWS / GCP (at least one)
Design and maintain ETL / ELT pipelines for large-scale data ingestion
Work with structured and semi-structured data (CSV, JSON, Parquet)
Ensure data quality, lineage, and reliability
Optimize pipelines for performance and scalability
Deploy ML/AI models using APIs or batch pipelines
Implement CI/CD for ML workflows
Monitor model performance, drift, and data issues
Skip the repetitive application forms
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