Senior Staff Applied ML Engineer
Tasks
- Analyze data with Python
- Auto fill suggest metadata fields
- Build AI assisted workflows for users
- Build ML models for classification and recommendations
- Collaborate with product teams on AI opportunities
- Conduct code and model reviews
- Define data and ML templates and best practices
- Design AI ingest pipelines
- Establish experimentation and documentation standards
- Extract structured data from unstructured inputs
- Implement fallbacks and guardrails
- Integrate models into production systems
- Mentor junior data and ML engineers
- Monitor model performance and reliability
- Provide architecture guidance for data and ML features
- Recommend similar past items
- Support responsible AI usage
- Tune and productionize machine learning models
Perks/Benefits
- N/A
Skills/Tech-stack
APIs | Amazon SageMaker | Classification | Dimensionality Reduction | Embeddings | Feature Engineering | Fine Tuning | Kubeflow | LLM | MLOps | MLflow | Matrix Factorization | Microservices | Model Evaluation | Model Monitoring | Offline metrics | Online Experimentation | Pandas | Pandas dataframes | Prompt engineering | Prompt templates | PySpark | PyTorch | Python | RAG | SQL | Supervised Learning | Vertex AI
Education
N/A
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