Applied Data Scientist
Tasks
- Benchmark LLM responses
- Build predictive machine learning models
- Collaborate with product and engineering teams to deploy models
- Design and run evaluation frameworks
- Design retrieval and grounding strategies
- Iterate prompts to improve response quality
- Own machine learning lifecycle
- Prototype LLM based product capabilities
- Train validate test model performance analysis
- Translate business problems into measurable ML approaches
Perks/Benefits
- Accredited courses
- Disability insurance
- Donation matching
- Employee assistance program
- Employee recognition program
- Hybrid working arrangements
- Life insurance
- Medical insurance
- Online learning
- Paid time off for volunteering
- Paid time off for voting
- Retirement plans
- Unlimited vacation
Skills/Tech-stack
AI Foundry | AI Search | Azure AI | Azure AI Foundry | Azure AI Search | Azure OpenAI | Data Preparation | Databricks | Embeddings | Feature Engineering | Hybrid search | LLM | Langchain | Langgraph | LightGBM | MLflow | Machine Learning | Model Benchmarking | Model Evaluation | Model Validation | Predictive Modeling | Prompt Flow | Prompt engineering | PyTorch | Python | Retrieval-Augmented Generation | SQL | Scikit-learn | TensorFlow | Vector Databases | Vector Search | XGBoost
Education
N/A
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