Senior Data Scientist - ML/AI Digital Workplace Experience
Work At Home-Massachusetts, United States
USD 92K-203K Senior-level Full Time
Tasks
- Analyze large scale datasets using statistical methods
- Automate workflows using AI models
- Build and deploy APIs and microservices for real time inference
- Contribute to responsible ai governance and explainability
- Design build and deploy production machine learning models
- Develop generative AI solutions with LLMs
- Develop predictive analytics and anomaly detection
- Implement MLOps pipelines and monitoring
- Implement RAG architecture for knowledge retrieval
- Perform prompt engineering and fine-tuning
Perks/Benefits
- Dental insurance
- Medical insurance
- Paid time off
- Retirement savings options
- Vision insurance
- Wellness programs
Skills/Tech-stack
API Development | Amazon Web Services | Apache Spark | Azure | Azure Machine Learning | Azure OpenAI | Azure OpenAI Service | CI/CD | Cloud platform | Databricks | Deep learning | Experiment tracking | Faiss | Fine Tuning | Generative AI | Google BigQuery | Google Cloud | Google Cloud Platform | Hugging Face | LIME | Langchain | Language Models | Language Processing | Large Language Models | Llamaindex | MLOps | Machine Learning | Microservices | Microsoft 365 | Model Monitoring | Model versioning | Natural Language | Natural Language Processing | OpenAI Service | Pinecone | Prompt engineering | PyTorch | Python | RAG | SHAP | SQL | Scikit-learn | Semantic Kernel | ServiceNow | TensorFlow | Vector Databases | Weaviate | Web Services
Education
Roles
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