Machine Learning Engineer III
Tasks
- Build fine tune and deploy machine learning models
- Build modular reusable AI components
- Create shared libraries APIs templates
- Develop RAG solutions for document analysis
- Develop transcription and NLP pipelines
- Engineer multi agent systems
- Implement model monitoring and data drift detection
- Integrate with Databricks for data ingestion and feature engineering
- Package models for deployment
- Process structured and unstructured data
- Support MLOps DevOps and Data Engineering workflows
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Agent systems | Azure Machine Learning | Cloud platform | Data Drift | Data Ingestion | Databricks | DevOps | Feature Engineering | Google Cloud | Google Cloud Platform | Langchain | Language Models | Language Processing | Large Language Models | MLOps | Machine Learning | Model Deployment | Model Monitoring | Multi-Agent | Multi-Agent Systems | Natural Language | Natural Language Processing | PyTorch | Retrieval-Augmented Generation | Transformers
Education
N/A
Roles
AI | AI Engineer | Engineer | Learning Engineer | Machine Learning Engineer
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