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Сильная роль в инженерии AI-платформы с современным стеком, но описание смешивает разработку ML-инфраструктуры с очной IT-поддержкой и содержит противоречия по локации.
Смешанные обязанности
Неясная локация
Современный стек
AI-платформа
Продуктовая компания
?Дежурства
Мэтч & Сопровод
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Описание вакансии
Текст:
Hirify AI/Оригинал
TL;DR
Senior AI/ML Engineer (AI Platform): Architecting and developing AI/ML platform services, cloud-native infrastructure, data pipelines, APIs, and scalable data-processing solutions with an accent on security, compliance, performance, and reliability. Focus on deploying and operating Kubernetes-based services, optimizing ML models and pipelines, and building distributed systems for enterprise Customer Experience products.
Location: Hybrid, with a minimum of three days per week onsite at the Mexico City office in Condesa; locations listed include Cuauhtémoc, Mexico and Palermo, Buenos Aires, Argentina.
Company
hirify.global provides hirify.global Experience Cloud, a SaaS platform for managing customer, employee, patient, resident, and candidate experiences.
What you will do
Lead the evolution of AI/ML platform services while meeting compliance, security, performance, availability, and reliability standards.
Design and implement in-house and cloud-native ML infrastructure, including Kubernetes-based services.
Monitor, maintain, and optimize deployed models and ML pipelines.
Build secure data pipelines across national boundaries and architect scalable large-scale data-processing solutions.
Design APIs for front-end applications and collaborate with product and design teams on Customer Experience features.
Automate manual processes, improve data delivery and infrastructure scalability, and participate in scheduled on-call rotations.
Requirements
Bachelor’s degree in Computer Science or a related technical discipline, or equivalent practical experience.
5+ years of production software development experience using Python, Java, or Scala.
Experience developing microservices and deploying and operating services on Kubernetes, including familiarity with Kubernetes-based deployment frameworks in regulated environments.
Experience with distributed systems such as Spark, Hadoop, and Kafka.
Experience with relational SQL databases, including Postgres.
Experience applying code-quality best practices and testing architectures in large codebases.
Hybrid work with at least three onsite days per week at the Mexico City office is required.
Nice to have
Familiarity with AWS services including EC2, S3, IAM, VPC, EKS, and SageMaker.
Experience with ML model-serving platforms such as TensorFlow Serving, TensorRT, Triton, or KServe.
Experience with Airflow or Kubeflow for data-pipeline and workflow management.
Knowledge of Django or Spring.
Experience with NoSQL databases, including ElasticSearch.
Culture & Benefits
Work in a global, flat IT organization focused on collaboration, practical problem-solving, learning, feedback, and experimentation.
Support cross-functional delivery of AI capabilities for enterprise customers.
Participate in a scheduled on-call rotation supporting internal platforms and customer-facing production systems.
hirify.global is an Equal Opportunity Employer and provides application accommodations for candidates with disabilities.
Hiring process
Applications are accepted for 30 days from the posting date or until the role is filled.
Applicants requiring an accommodation should contact ApplicantAccessibility@hirify.global.com.
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