Principal AI/ML Architect
Tasks
- Advise on MLOps and LLMOps pipeline design
- Architect production machine learning systems at scale
- Ensure technical quality across client engagements
- Govern model lifecycle and deployment standards
- Lead end to end machine learning assessments
- Orchestrate proofs of concept
- Perform model evaluation and monitoring guidance
- Provide technical advisory on architecture and strategy
- Translate machine learning tradeoffs into business value
Perks/Benefits
- Competitive equity
- Equipment stipend
- Flexible time off
- Learning and development stipend
- Paid exams and certifications
- Peer bonus awards
- Private health insurance
- Professional development plan
- Remote work
- State of the art laptop and tools
Skills/Tech-stack
AWS CDK | AWS CloudFormation | Agentic Systems | Airflow | Amazon Bedrock | Amazon Kinesis | Amazon OpenSearch | Amazon SageMaker | Amazon Web Services | Apache Hudi | Apache Iceberg | Apache Kafka | Apache Spark | Artificial Intelligence | CI/CD | Deep learning | Delta Lake | Docker | Generative AI | HuggingFace Transformers | Infrastructure as Code | JAX | Kubernetes | LLMOps | Langchain | Language Models | Large Language Models | Llamaindex | MLOps | MLflow | Machine Learning | PyTorch | Quantization | Retrieval-Augmented Generation | Scikit-learn | TensorFlow | Terraform | Vector Databases | Vector embeddings | Web Services | Weights and Biases | “as-code”
Education
N/A
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