Principal AI/ML Architect
Tasks
- Architect production machine learning systems
- Collaborate on proposal scoping and statements of work
- Design MLOps and LLMOps standards
- Guide model lifecycle management and monitoring
- Lead ML practice improvement through peer guidance and interviews
- Lead end to end machine learning assessments
- Own or orchestrate proof of concepts for machine learning
- Provide technical advisory for client engagements
Perks/Benefits
- Annual learning and development stipend
- Equipment stipend
- Long-term disability
- Paid Holidays
- Paid exams and certifications
- Parental leave
- Pension match
- Premium health coverage
- Professional development plan
- Remote work
- Sick leave
- Unlimited vacation
Skills/Tech-stack
AWS CDK | AWS CloudFormation | AWS Glue | Airflow | Amazon Bedrock | Amazon Kinesis | Amazon OpenSearch | Amazon SageMaker | Apache Hudi | Apache Iceberg | Apache Kafka | Apache Spark | Bias detection | CI/CD | DPO | DeepSpeed | Delta Lake | Docker | FSDP | Fairness | Hugging Face | Hugging Face Transformers | Infrastructure as Code | Kubernetes | LLMOps | Langchain | Llamaindex | LoRA | MLOps | MLflow | PEFT | Pinecone | PostgreSQL pgvector | PySpark | PyTorch | QLoRA | Quantization | RAG | RLHF | Responsible AI | Scikit-learn | TensorFlow | Terraform | VLLM | Vector Databases | “as-code”
Education
N/A
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