About this role
Principal AI/ML Architect at Caylent. Location: Canada. Role: Lead ML assessments, Shape architecture, Provide technical leadership Requirements: 10+ years in ML/AI with client-facing leadership; deep AWS ML/GenAI knowledge; expert in multiple ML domains; able to architect production ML systems; strong MLOps/LLMOps and AI ops experience Category: Data and Analytics Seniority: Senior Level Tools: AWS SageMaker, SageMaker Pipelines, SageMaker Feature Store, SageMaker Model Registry, SageMaker Clarify, Bedrock, Anthropic API, OpenAI API, Google Gemini API, Azure OpenAI, Rekognition, Comprehend, Transcribe, Textract, Translate, Personalize, Neptune, Kinesis, Spark, PySpark, Kafka, Kinesis, Iceberg, Delta Lake, Hudi, Glue, PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace, LangChain, LLamaIndex, Ollama, MLflow, Weights & Biases, Airflow, Dagster, Kubeflow, Docker, Kubernetes, MLOps, CI/CD, IaC, CloudFormation, CDK, Terraform, Responsible AI, Bias & Fairness, vLLM, Triton, SGLang, Trainium, Inferentia, Quantization, GPTQ, AWQ, bitsandbytes, RAGAS, NeMo Guardrails Certifications: aws machine learning – specialty, aws solutions architect – professional Commitment: Full Time, Contract, Temporary Workplace: Remote Languages: English