Principal AI/ML Architect
Tasks
- Advise customers on MLOps and LLMOps standards
- Architect production ML systems
- Establish ML governance and model lifecycle management
- Evaluate foundation model adaptation and deployment approaches
- Lead end to end ML assessments
- Orchestrate proof of concepts
- Oversee production monitoring frameworks
- Provide technical authority for client engagements
- Shape technical proposals and statements of work
- Strengthen ML practice through peer guidance and accelerators
Perks/Benefits
- 100 percent remote work
- Annual learning and development stipend
- Equipment and office stipend
- Flexible PTO
- Generous holidays
- Paid exams and certifications
- Peer bonus awards
- Professional development plan
- State of the art laptop and tools
- Worldwide team and culture
Skills/Tech-stack
AWS Bedrock | AWS CDK | AWS CloudFormation | AWS SageMaker | Agentic Systems | Airflow | Amazon Kinesis | Amazon OpenSearch | Amazon Web Services | Apache Kafka | Apache Spark | Artificial Intelligence | Bias and fairness | CI/CD | Computer Vision | DPO | Data Governance | DeepSpeed | Docker | FSDP | Fine Tuning | HuggingFace Transformers | Infrastructure as Code | Kubeflow Pipelines | Kubernetes | LLM Evaluation | LLMOps | Langchain | Language Processing | Llamaindex | LoRA | MLOps | MLflow | Machine Learning | Natural Language | Natural Language Processing | PEFT | PySpark | PyTorch | Q LoRA | Quantization | RAG | RLHF | Reinforcement Learning | Responsible AI | Scikit-learn | TensorFlow | Terraform | Triton | VLLM | Web Services | Weights and Biases | “as-code”
Education
N/A
Roles
AI | AI Architect | Architect | ML Architect | Principal | Principal ML Architect
Regions
States
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