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5 часов назад

Senior AI/ML Platform Engineer (GovCloud)

148 500 - 221 000$
Формат работы
hybrid
Тип работы
fulltime
Грейд
senior
Английский
b2
Страна
US
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 Platform Engineer (GovCloud): Migrating and developing AI/ML platform services for AWS GovCloud with an accent on cloud-native infrastructure, secure data pipelines, and regulated-environment compliance. Focus on operating Kubernetes-based ML systems, designing scalable APIs and distributed data processing solutions, and maintaining reliable production platforms through on-call support.

Location: McLean, Virginia; hybrid schedule with 3 days per week onsite. US citizenship is required.

Annual base salary: $148,500–$221,000.

Company

hirify.global provides the hirify.global Experience Cloud SaaS platform for managing customer, employee, patient, resident, and candidate experiences.

What you will do

  • Lead the migration of AI/ML platform services to AWS GovCloud, ensuring compliance, security, and performance.
  • Design and implement cloud-native ML infrastructure using AWS services including SageMaker, ECS, EKS, and Lambda.
  • Monitor, maintain, and optimize deployed models and ML pipelines in GovCloud environments.
  • Build secure data pipelines across national boundaries in accordance with FedRAMP requirements.
  • Architect scalable solutions for large-scale data processing and design APIs for front-end applications.
  • Participate in on-call rotations and improve automation, data delivery, scalability, availability, and reliability.

Requirements

  • US citizenship and eligibility to obtain and maintain access to AWS GovCloud secure environments.
  • BA/BS degree in Computer Science or a related technical discipline, or equivalent practical experience.
  • 5+ years of production software development experience with Python, Java, or Scala.
  • Experience deploying and operating services on Kubernetes in regulated environments.
  • Experience with distributed systems such as Spark, Hadoop, and Kafka.
  • Experience with relational SQL databases, including PostgreSQL, plus testing and code-quality practices for large codebases.

Nice to have

  • Experience with AWS GovCloud or FedRAMP-compliant environments.
  • Experience with AWS services including EC2, S3, IAM, VPC, EKS, and SageMaker.
  • AWS Certified Machine Learning Specialty or Solutions Architect certification.
  • Experience with ML model serving platforms such as TensorFlow Serving, TensorRT, Triton, or KServe.
  • Experience with Airflow, Kubeflow, Django, Spring, or Elasticsearch.

Culture & Benefits

  • Medical, dental, and vision benefits.
  • 401(k), disability, life, and AD&D insurance.
  • Statutory leaves, paid parental leave, and paid holidays.
  • Commitment to diversity, equal pay, and equal employment opportunity.

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