Machine Learning Engineer III 4P/791
Tasks
- Build transcription and NLP pipelines
- Design and build modular reusable AI components and services
- Develop and fine-tune models
- Develop reusable libraries APIs and templates
- Develop scalable RAG solutions
- Engineer multi agent systems
- Ensure security privacy compliance scalability and observability
- Implement monitoring for model performance and data drift
- Integrate Databricks for ingestion and feature engineering
- Package and deploy models
- Provide technical guidance to teams
Perks/Benefits
- N/A
Skills/Tech-stack
AI Services | APIs | Agent systems | Azure AI | Azure AI Services | Azure Machine Learning | CI/CD | Cloud platform | Containers | Databricks | Embeddings | Google Cloud | Google Cloud Platform | Hugging Face | Hugging Face Transformers | Kubernetes | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | PyTorch | Python | Retrieval-Augmented Generation | Semantic Search | Vector Databases
Education
N/A
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