AI/ML Engineer (Fulltime) FOR Remote

Dice is the leading career destination for tech experts at every stage of their careers. Our client, Amaze Systems Inc, is seeking the following. Apply via Dice today!Fulltime Opportunity MIN 15+ EXPRole - AI/ML Engineer Location: RemoteRole SummaryWe are looking for an experienced contractor who is highly proficient in Python and has practical experience developing AI-powered systems. The preferred candidate should have worked with AI agents, Model Context Protocol (MCP), modern data management techniques, and cloud platforms to create scalable, production-ready solutions.Core ResponsibilitiesDesign, build, and maintain Python based services and automation workflowsImplement MCP for agent communication, control, and observabilityBuild, transform, and manage data pipelines supporting AI and analytics use casesDeploy, monitor, and optimize solutions in cloud environmentsCollaborate with product, data, and engineering teams to deliver end-to-end solutionsEnsure code quality, performance, security, and maintainabilityRequired Technical SkillsPython: Advanced proficiency; production experience with APIs, async processing, and testingAI / LLM Agents: Experience designing and implementing autonomous or semiautonomous AI agents (e.g., tool using agents, planners, orchestrators)MCP (Model Context Protocols): Experience with agent communication, coordination frameworks, or protocol driven AI architecturesData Management:Data modeling and data pipelinesWorking with SQL and NoSQL databasesExperience with data quality, governance, and large‑scale datasetsCloud Experience:Hands on work in at least one major cloud platform (Azure, AWS, or Google Cloud Platform)Experience with cloud storage, compute, and managed servicesFamiliarity with CI/CD and cloud native deployment patternsPreferred / Nice To HaveExperience with vector databases and embeddingsFamiliarity with MLOps or LLMOps practicesExperience with streaming data or event driven architecturesKnowledge of security and compliance considerations for AI systemsPrior work in enterprise or large-scale data managementHealthcare or other data regulated experience preferredEngagement CharacteristicsContractor is expected to work independently with minimal supervisionComfortable operating in fast moving, evolving technical environmentsStrong documentation and communication skillsExperience collaborating with remote and cross functional teamsTechnical SkillsAI/LLM Agent and MCP (Model Control Protocols) – Google ADK, Copilot StudioCloud Experience – Google Cloud or Azure preferred.Database Knowledge – BigQuery, Firestore, Cloud SQL, etc.Data pipeline – DataflowPower AutomateAutomation Tooling – UI Path, etc.CI/CD Pipeline – Azure DevOps PipelineInfrastructure as Code (IaC) - TerraformThanks &RegardsRahul Sharma | Team LeadAmaze Systems IncE: |