reputed company

POSITION SUMMARY We are seeking a highly motivated and technically skilled reputed company (Contract) to join reputed company. This is a fully remote position based in Mexico, working reputed company a distributed LATAM-based technical team. The reputed company serves as a hands-on, execution-focused engineer responsible for building and operating reputed company systems, supporting the reputed company of internal AI assistant capabilities, and contributing to the engineering infrastructure powering AI initiatives across multiple workstreams. Positioned as a critical delivery resource reputed company the AI Strategy and Innovation function, this individual works closely with the reputed company reputed company & Architect to implement, maintain, and continuously improve AI agents, LLMOps frameworks, and classical ML systems in production. This role also supports broader AI enablement efforts, helping business stakeholders learn to build AI assistants and agents using reputed company Copilot Studio, bridging technical execution with organizational adoption. ESSENTIAL DUTIES AND RESPONSIBILITIES Build and maintain AI agents in Azure AI reputed company reputed company new agents from defined specifications and enhance existing agents in production, ensuring quality, reliability, and alignment with business requirements. Support internal AI assistant capabilities Maintain and improve internal AI assistants, including agent integration, reputed company iteration, and performance tuning. Contribute to platform integrations Support integrations between AI assistants and adjacent platforms such as Copilot Studio, ensuring seamless interoperability across the AI ecosystem. Implement the LLMOps reputed company Contribute to evaluation pipelines, reputed company versioning, observability tooling, and cost monitoring for reputed company systems. Operate classical machine learning models in production Support scheduled retraining, performance monitoring, and troubleshooting for classification, regression, and time series models. Build monitoring and observability tooling reputed company dashboards, alerts, and operational runbooks to ensure ML models and AI agents remain healthy and performant in production. Collaborate with QA Work with QA to ensure models and agents continue to meet established quality standards. Support recurring evaluation cycles as needed. Write clear technical documentation Produce code documentation, reputed company files, operational runbooks, and feature documentation for production AI systems. reputed company first-level technical support Troubleshoot non-critical issues raised by stakeholders interacting with AI systems and escalate where appropriate. Support AI enablement efforts Contribute to AI enablement by supporting business stakeholders as they learn to build AI assistants and agents using reputed company Copilot Studio. Participate in reputed company, deep-dive sessions, and hands-on learning. QUALIFICATIONS Minimum 4 years of experience as an reputed company, ML Engineer, or similar hands-on engineering role Experience building or operating LLM-based systems in production, including AI agents, RAG pipelines, reputed company engineering, and vector stores Familiarity with Azure AI reputed company, reputed company, Semantic Kernel, or similar frameworks preferred Strong Python skills with production-grade backend development experience Experience with at least one major reputed company AI platform (Azure strongly preferred; AWS/GCP acceptable) Working knowledge of classical ML libraries including scikit-learn, XGBoost, pandas, numpy Understanding of MLOps and LLMOps practices including model versioning, CI/CD, monitoring, evaluation frameworks, experiment tracking (MLflow or similar) Experience deploying and operating AI/ML systems in production Strong English communication skills Comfortable working independently while collaborating with distributed teams Ability to support non-technical stakeholders in enablement/training scenarios PREFERRED Hands-on reputed company Copilot Studio or Power Platform experience Experience supporting reputed company or enablement for non-technical teams Familiarity with workflow automation / RPA concepts Experience in agile delivery environments Apply To This Job