About this role
AI/ML Engineering Manager at Caylent. Location: Brazil. Role: Lead engagements, Hire team, Develop people Requirements: 10+ years in ML/AI with client-facing leadership and AWS ML/GenAI expertise. Category: Research and Development (R&D) 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, AWS Rekognition, AWS Comprehend, AWS Transcribe, AWS Textract, AWS Translate, AWS Personalize, AWS Neptune, AWS Kinesis, Apache Spark, PySpark, Apache Kafka, Amazon Kinesis, Apache Iceberg, Delta Lake, Apache Hudi, AWS Glue, Docker, Kubernetes, MLflow, Weights & Biases (W&B), Airflow, MWAA, Dagster, Kubeflow Pipelines, CI/CD, Terraform, CloudFormation, PyTorch, TensorFlow, JAX, Scikit-learn, XGBoost, HuggingFace, LangChain, LlamaIndex, DSPy, Ollama, RAGAS, DeepEval, NeMo Guardrails, SageMaker Neo Certifications: aws machine learning – specialty, aws solutions architect – professional Commitment: Full Time Workplace: Remote Languages: English