Senior Data Scientist
Tasks
- Build and fine-tune machine learning models
- Communicate results to non-technical audiences
- Deploy and monitor models in production
- Design machine learning solutions
- Detect model drift
- Develop prompts and evaluation frameworks
- Engineer data and machine learning pipelines
- Establish testing and monitoring practices
- Implement CI/CD for ML pipelines
- Mentor junior data scientists
- Scope problems with stakeholders
- Translate ML into measurable outcomes
- Validate model inputs and outputs
Perks/Benefits
- N/A
Skills/Tech-stack
AI Foundry | AKS | Apache Spark | Azure AI | Azure AI Foundry | Azure Data | Azure Data Lake | Azure Functions | Azure Kubernetes | Azure Kubernetes Service | Azure OpenAI | Azure OpenAI Service | CI/CD | Data Lake | Data Validation | Databricks | Deep learning | Delta Lake | Docker | Drift Detection | Embeddings | Feature Engineering | Generative AI | Hugging Face | Hugging Face Transformers | Kubernetes | Kubernetes Service | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Model Drift | Model Drift Detection | Model versioning | Natural Language | Natural Language Processing | OpenAI Service | Pandas | Prompt engineering | PySpark | PyTorch | Python | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Transformer Models | Unity Catalog | Vector Databases
Education
Roles
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