Key skills

Model Development & DeploymentREST API IntegrationPythonML frameworksML algorithmsstatistical modelingNLPDeep LearningCloud ML PlatformsScalable ML systemsAI strategy leadershipAnalytical skillsMLOps toolsCI/CD pipelinesContainerizationData visualization toolsProblem-solving skillsCommunication abilitiesCollaboration abilitiesAIMachine LearningMLPyTorchTensorFlowMLOpsAWSAzureGCPKubernetesDockerSageMakerREST APICI/CDLeadershipCommunicationCollaboration

About this role

Quantum World Technologies Inc. is a company focused on innovative technology solutions, and they are seeking an AI/ML Engineer to develop and deploy machine learning models. The role involves end-to-end lifecycle management of models and API integration.

Responsibilities:

Model Development & Deployment (end-to-end lifecycle)
REST API Integration for ML models

Requirements:

Model Development & Deployment (end-to-end lifecycle)
REST API Integration for ML models
Strong proficiency in Python and ML frameworks (TensorFlow, PyTorch)
Solid understanding of ML algorithms and statistical modeling
Bachelor's or master's degree in computer science, Data Science, or related field
5–12 years of experience in AI/ML engineering roles
Strong problem-solving and analytical skills
Excellent communication and collaboration abilities
Experience with NLP and Deep Learning techniques
Familiarity with Cloud ML Platforms (AWS SageMaker, Azure AI, GCP AI Platform)
Knowledge of scalable ML systems and distributed computing
Exposure to AI strategy leadership and solution architecture
Experience with MLOps tools and CI/CD pipelines
Knowledge of containerization (Docker, Kubernetes)
Familiarity with data visualization and reporting tools