Engineer - Data Science
Tasks
- Apply AIOps for automation
- Build and deploy deep learning models
- Contribute to technical documentation
- Design machine learning models
- Develop model monitoring solutions
- Expose AI capabilities via APIs
- Fine-tune and evaluate language models
- Implement MLOps and LLMOps pipelines
- Mentor junior engineers
- Perform data preparation and feature engineering
- Stay updated with AI advancements
- Validate and benchmark models
Perks/Benefits
- N/A
Skills/Tech-stack
API Management | APIs | Azure | CI/CD | Cloud Platforms | Cloud Platforms (AWS | Data Pipelines | Docker | Embedding Models | Feature Engineering | GCP | Generative AI | Kubeflow | Kubernetes | Large-scale telemetry | MLflow | Microservices | Model Deployment | NumPy | Pandas | PyTorch | Python | SageMaker | Scikit-learn | TensorFlow | Vector Databases | Vertex AI
Education
Roles
Regions
Countries
States
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