Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pyaid

About the CompanyInternational technology company that works on complex cloud, data, and AI initiatives for integral clients.We are looking for an accomplished professional to bridge the gap between machine learning and reliable production operations. You will be responsible for the deployment, monitoring, and lifecycle management of ML models, with a strong focus on generative AI and LLM-based agents. You will ensure that our intelligent systems are scalable, observable, and continuously improving.We're currently expanding our engineering presence in Argentina and are looking for a Senior MLOps Engineer to help scale production-grade machine learning systems, with a strong focus on generative AI and modern cloud infrastructure.This is a highly technical, hands-on role working closely with engineering and data teams on the deployment, automation, monitoring, and continuous improvement of ML platforms and services.ResponsibilitiesDeploy and maintain efficient, error-free ML model pipelines using Vertex AI or Sage Maker.Establish and optimise CI/CD for the training, testing, and deployment of models.Design and deploy observability frameworks to track model accuracy, bias, drift, and latency.Manage model versioning and registry,



ensuring the ability to roll back when necessary.Automate application deployment using Docker and Kubernetes within cloud environments.Collaborate with data engineers to build robust data and model pipelines.Implement infrastructure as code using Terraform or CloudFormation to manage ML environments.RequirementsProven expertise in MLOps practices and model lifecycle management on GCP (GCP excluyente).Experience designing monitoring systems using Prometheus, Grafana, and the ELK stack.Proficient in Python and libraries like Pandas, NumPy, and Seaborn for data preprocessing.Strong background in containerisation and orchestration using Docker and Kubernetes.Ability to automate complex workflows to save manual effort and improve productivity.Fluent/advanced English communication skills are required.Nice to haveGCP Professional ML Engineer or AWS Certified Solutions Architect.Experience with big data tools like Spark, Hadoop, and Dataflow.Familiarity with frameworks like LangChain for LLM operations.Work SetupHybrid model based in Buenos AiresCollaborative engineering environment with international exposureOpportunity to join during an important growth stage and influence technical decisionsBenefitsCompetitive USD compensation under a permanent employment model.Private health insuranceLearning and certification daysHome office supportAdditional wellness and team-recognition benefitsExposure to challenging AI, cloud, and platform engineering projects#J-*****-Ljbffr

Postúlate en Kit Empleo: kitempleo.com.ar/empleo/pyaid

📌 Senior Mlops Engineer - Buenos Aires, Argentina
🏢 MissionHires
📍 Buenos Aires