AI / ML Engineer
Tasks
- Build end-to-end machine learning pipelines
- Collaborate with data engineers and software developers to deliver AI solutions
- Deploy monitor and optimize ML models on cloud platforms
- Design machine learning models
- Develop generative AI and LLM powered applications
- Develop, train, and deploy machine learning models
- Implement MLOps model versioning and monitoring
- Optimize model performance with feature engineering and hyperparameter tuning
Perks/Benefits
- N/A
Skills/Tech-stack
AWS Bedrock | AWS SageMaker | Azure Machine Learning | Azure OpenAI | BigQuery ML | CI/CD | Databricks | Dataflow | Deep learning | Docker | Embeddings | Feature Engineering | GCP Vertex | GCP Vertex AI | Hugging Face | Hyperparameter Tuning | Kubernetes | Langchain | MLOps | Machine Learning | Model Monitoring | Prompt engineering | PyTorch | Python | RAG | Retrieval-Augmented Generation | TensorFlow | Vector Databases | Vertex AI
Education
Roles
AI | AI/ML Engineer | Engineer | ML Engineer
Regions
Countries
States
Cities
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