Junior Data Scientist

Tasks

• Apply MLOps for model serving and monitoring
• Build workforce management models
• Design and test GenAI architectures
• Develop LLM powered text extraction pipelines
• Develop client churn models
• Implement CI CD and reproducible pipelines
• Perform end to end ML lifecycle support
• Present findings to stakeholders in clear language
• Train and evaluate machine learning models
• Translate business questions into data problems
• Use AI coding tools for faster iteration
• Write testable Python code

Perks/Benefits

• Development opportunities
• Hybrid work model
• Mentorship

Skills/Tech-stack

Azure | CI/CD | Classification | Dash | Databricks | Docker | DuckDB | Forecasting | GitHub Copilot | Google Cloud | Hugging Face | Langsmith | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Evaluation | Model Monitoring | Model Serving | Natural Language | Natural Language Processing | NoSQL | Pandas | Polars | Prompt engineering | PyTorch | Python | RAG | Ragas | React | Regression | SQL | Streamlit