Principal Machine Learning Engineer
Tasks
- Architect and deliver ML systems
- Build and maintain data pipelines
- Build multi-agent AI systems
- Collaborate with cross-functional teams
- Design enterprise AI platform components
- Develop AI solutions for financial systems
- Implement model governance and explainability
- Mentor engineers and analysts
- Present technical strategies to executives
- Translate technical work into business narratives
Perks/Benefits
- Adoption Assistance
- Education assistance
- Health insurance
- Holiday leave
- Home purchase discounts
- Inclusive company culture
- Paid parental leave
- Referral bonus
- Retirement plan
- Sick leave
- Vacation leave
Skills/Tech-stack
AWS Bedrock | AWS Lambda | AWS SageMaker | AWS Step Functions | Anthropic APIs | Azure ML | CloudWatch | Coralogix | DBT | Feature Stores | Kubeflow | Langchain | Llamaindex | MLflow | OpenAI Service | PGVector | Pandas | Pinecone | PyTorch | Python | Redshift | SQL | Scikit-learn | Snowflake | Spark | Step Functions | TensorFlow | W&B | Weights & Biases | XGBoost
Education
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