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 requirements must-have skills python
(proficient) aws lambda functions aws api gateway jenkins or similar ci/cd tools experience deploying models for
inference across environments strong understanding of
security best practices cloud & infrastructure aws infrastructure
(general expertise) terraform
(iac) aws sagemaker
(model training and deployment) aws opensearch
(vector databases) observability tools:
dynatrace ,
splunk basic understanding of
cybersecurity
(firewalls, certificates) ai & ml platform experience with
gpt apis
(costs, tokens, usage, contracts) openai api integrations
(connectivity and implementation) large language models (llms)
understanding databricks
(including job clusters, interactive clusters) unity catalog
(data governance and access management) mlflow
(for model lifecycle tracking) daily responsibilities deploy ml models across dev, staging, and production environments make ml models available for real-time
inference develop and deploy
api-based ml services, including home-grown and gpt-backed models review and validate
data science
code before deployment implement and enforce
security best practices monitor performance,
model cost ,
availability, and
drift manage and renew
api keys, certificates, and credentials provide reports on model usage, api cost, and drift analysis ensure systems are functional and available during off-hours (usa time zone) soft skills & communication strong verbal and written communication with
data scientists
and
product leaders proactive and collaborative across cross-functional teams ability to manage urgent priorities and operate with a
sense of urgency comfortable providing insights and updates to stakeholders