AI / ML Engineer
Tasks
- Automate CI CD for model deployment
- Build end-to-end machine learning pipelines
- Deploy and monitor models on cloud platforms
- Design machine learning models for enterprise applications
- Develop and optimize feature engineering and hyperparameter tuning
- Develop generative AI and LLM powered applications
- Implement MLOps model versioning and monitoring
- Train, evaluate, and deploy ML models
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Azure Machine Learning | Azure OpenAI | BigQuery ML | CI/CD | Databricks | Dataflow | Docker | Embeddings | GCP Vertex | GCP Vertex AI | Hugging Face | Kubernetes | Langchain | MLOps | Machine Learning | Model Monitoring | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | TensorFlow | Vector Databases | Vertex AI
Education
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