Data Scientist
Tasks
- Apply NLP computer vision recommendation systems
- Build AI solutions end to end
- Collaborate with clients and stakeholders
- Deploy machine learning models
- Develop AI development lifecycle tools
- Implement AI delivery governance
- Manage model and data versioning
- Use CI CD and containerization
- Use reinforcement learning and time series forecasting
Perks/Benefits
- N/A
Skills/Tech-stack
AWS | AWS Bedrock | AWS SageMaker | Ansible | Azure | Azure ML | CI/CD | Cloud platform | Computer Vision | Data Versioning | Dataiku | Docker | Google Cloud | Google Cloud Platform | Google PAIR | Google Vertex | Google Vertex AI | Hugging Face | Hugging Face Transformers | Infrastructure as Code | Jupyter | Kubernetes | LLM | Language Processing | MLflow | Machine Learning | Model versioning | Natural Language | Natural Language Processing | PyTorch | Python | Recommendation Systems | Reinforcement Learning | Series forecasting | TensorFlow | Terraform | Time Series | Time Series Forecasting | Vertex AI | “as-code”
Education
N/A
Roles
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