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10 дней назад

Senior AI/ML Engineer

Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
Argentina/Mexico
Вакансия из списка Hirify.GlobalВакансия из Hirify Global, списка международных tech-компаний
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Описание вакансии

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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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