Agile Dream Team
Agile Dream Team is an innovative company that specializes in AI-driven solutions and agile software development. The company offers nearshore development teams that combine top talent with agile methodologies to deliver effective enterprise software, AI/ML engineering, and data infrastructure solutions. With a focus on several industries including FinTech, HealthTech, and eCommerce, Agile Dream Team aims to accelerate innovation and enhance operational efficiency by leveraging cutting-edge technologies such as generative AI and machine learning.
Docker • AI • Kubernetes • Devops • React.js
AI Solutions Architect - Manager
2 days ago
Agile Dream Team
Agile Dream Team is an innovative company that specializes in AI-driven solutions and agile software development. The company offers nearshore development teams that combine top talent with agile methodologies to deliver effective enterprise software, AI/ML engineering, and data infrastructure solutions. With a focus on several industries including FinTech, HealthTech, and eCommerce, Agile Dream Team aims to accelerate innovation and enhance operational efficiency by leveraging cutting-edge technologies such as generative AI and machine learning.
Docker • AI • Kubernetes • Devops • React.js
📋 Description
• Seeking an AI Solutions Architect & Innovation Lead to drive AI technologies and workflows. • Role involves mentoring, strategizing, and technical consulting for AI architecture. • Guiding AI-driven transformation for teams and clients while researching innovative technologies.
🎯 Requirements
• 7+ years of experience in AI/ML engineering, MLOps, or AI architecture. • Expertise in AI/ML frameworks (TensorFlow, PyTorch, Hugging Face) and MLOps tools (MLflow, Kubeflow, SageMaker Pipelines). • Strong experience with cloud AI platforms (AWS, Azure, GCP) and AI model deployment strategies. • Deep knowledge of data engineering, AI infrastructure, vector databases, and Retrieval-Augmented Generation (RAG). • Proven ability to design AI architectures that balance performance, scalability, and compliance. • Experience in AI governance, bias detection, model explainability, and ethical AI practices. • Hands-on experience with AgentOps, AI agents, and enterprise AI solutions. • Ability to mentor technical teams, lead research efforts, and drive AI innovation. • Experience in estimating AI projects and defining technical proposals for clients. • Strong problem-solving skills and ability to proactively integrate new AI technologies into enterprise workflows.
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