About this role
AI Engineer at Temus. Location: Singapore. Role: delivering solutions, maintaining relationships, building knowledge Requirements: 3+ years experience in AI/ML/data/software engineering, end-to-end AI deployment, serverless/CI-CD/container/IaC tooling, cloud (AWS/Azure/GCP) exposure, and practical experience with LLMs or MLOps tooling. Category: Data and Analytics Seniority: Mid Level Tools: LangChain, LangGraph, AutoGen, CrewAI, OpenAI API, Anthropic API, AWS Bedrock, Google Vertex AI, Microsoft Azure ML, Hugging Face Transformers, MLFlow, Dataiku, Microsoft Fairlearn, Google PAIR, Jupyter, PyTorch, TensorFlow, Scikit-learn, AWS SageMaker, Docker, Kubernetes, Terraform, Ansible, Datadog, Weights & Biases, Kubeflow, AWS SageMaker Pipelines, Microsoft Azure ML Pipelines, Google Vertex AI Pipelines Commitment: Full Time Workplace: Onsite Languages: English