Principal AI/ML Architect
Tasks
- Advise on ML operations and MLOps standards
- Architect production ML systems at scale
- Collaborate on proposal and scoping
- Design MLOps pipeline design and model lifecycle management
- Evaluate models and ensure technical quality
- Lead end to end ML assessments
- Orchestrate POCs for customer confidence
- Prescribe ML architecture and reference implementations
- Provide senior technical authority and architectural guidance
Perks/Benefits
- 100% remote work
- Annual stipend for Learning and Development
- Equipment and office stipend
- Flexible PTO
- Generous holidays
- Individual professional development plan
- Learning and development stipend
- Paid exams and certifications
- Peer bonus awards
- State of the art laptop and tools
- Work with worldwide team
Skills/Tech-stack
AWS Bedrock | AWS Glue | Airflow | Amazon Kinesis | Amazon OpenSearch | Amazon SageMaker | Apache Kafka | Apache Spark | Bias detection | CI/CD | CloudFormation | DPO | Deep learning | DeepSpeed | Docker | FSDP | HuggingFace Transformers | Kubeflow Pipelines | Kubernetes | LLMOps | Langchain | Llamaindex | LoRA | MLOps | MLflow | Model Evaluation | PEFT | PGVector | Pinecone | PyTorch | QLoRA | Quantization | RAG | RLHF | Responsible AI | Scikit-learn | TensorFlow | Terraform | VLLM | Vector Databases | Weaviate | XGBoost
Education
N/A
Regions
States
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