Senior AI Engineer
Tasks
- Apply NLP, computer vision, and recommendation systems
- Deliver AI engineering solutions
- Deploy AI models end to end
- Develop using LLMs
- Implement CI/CD pipelines
- Manage infrastructure as code
- Monitor AI systems and performance
- Use cloud services for ML workloads
- Version models and data
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | Amazon SageMaker | Ansible | Artificial Intelligence | 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 | Language Models | Language Processing | Large Language Models | MLflow | Machine Learning | Model versioning | Natural Language | Natural Language Processing | PyTorch | 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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