Senior AI Engineer
Tasks
- Apply NLP for business problems
- Apply computer vision for business problems
- Apply infrastructure as code
- Build recommendation systems
- Collaborate with clients and stakeholders
- Deploy machine learning models
- Develop AI solutions end-to-end
- Develop reinforcement learning solutions
- Forecast time series data
- Govern AI for fairness ethics accountability and transparency
- Implement CI/CD pipelines
- Manage model and data versioning
- Use cloud services for AI deployments
- Use containerization for model serving
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Ansible | Azure Machine Learning | CI/CD | Computer Vision | Data Versioning | Datadog | Dataiku | Docker | Google Vertex | Google Vertex AI | Hugging Face | Hugging Face Transformers | Infrastructure as Code | Jupyter | Kubernetes | LLM | Language Processing | MLflow | Machine Learning | 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
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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