We are seeking a highly skilled machine learning engineer (mle).remote from mexico only!The ideal candidate will play a critical role in deploying and operationalizing advanced machine learning models, integrating gpt-based services, and managing infrastructure across environments. This role requires expertise in python, aws services, and mlops, with a focus on model deployment, observability, and performance optimization.technical requirementsmust-have skillspython (proficient)aws lambda functionsaws api gatewayjenkins or similar ci/cd toolsexperience deploying models for inference across environmentsstrong understanding of security best practicescloud & infrastructureaws infrastructure (general expertise)terraform (iac)aws sagemaker (model training and deployment)aws opensearch (vector databases)observability tools: dynatrace, splunkbasic understanding of cybersecurity (firewalls, certificates)ai & ml platformexperience with gpt apis (costs, tokens, usage, contracts)openai api integrations (connectivity and implementation)large language models (llms) understandingdatabricks (including job clusters, interactive clusters)unity catalog (data governance and access management)mlflow (for model lifecycle tracking)daily responsibilitiesdeploy ml models across dev, staging, and production environmentsmake ml models available for real-time inferencedevelop and deploy api-based ml services, including home-grown and gpt-backed modelsreview and validate data science code before deploymentimplement and enforce security best practicesmonitor performance, model cost, availability, and driftmanage and renew api keys, certificates, and credentialsprovide reports on model usage, api cost, and drift analysisensure systems are functional and available during off-hours (usa time zone)soft skills & communicationstrong verbal and written communication with data scientists and product leadersproactive and collaborative across cross-functional teamsability to manage urgent priorities and operate with a sense of urgencycomfortable providing insights and updates to stakeholders
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