обновлено 5 дней назад
Senior AI/ML Platform Engineer
148 500 - 221 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior AI/ML Platform Engineer (AWS/GovCloud): Migrating and operating AI/ML platform services in AWS GovCloud while building cloud-native ML infrastructure, secure data pipelines, and scalable APIs with an accent on compliance, security, and high-performance distributed systems. Focus on deploying models and ML pipelines across regulated environments, designing Kubernetes-based infrastructure, and maintaining reliable customer-facing production systems.
Location: McLean, Virginia; hybrid with 3 days per week onsite. US citizenship is required for AWS GovCloud access and compliance.
Annual base salary: $148,500–$221,000.
Company
provides the Experience Cloud, a 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 while meeting compliance, security, and performance standards.
- Design and implement cloud-native ML infrastructure using SageMaker, ECS, EKS, Lambda, and Kubernetes.
- 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 data-processing solutions and APIs for customer-facing applications.
- Improve automation, infrastructure scalability, and reliability through scheduled on-call support.
Requirements
- US citizenship and eligibility to obtain and maintain access to secure AWS GovCloud environments.
- Bachelor’s degree in Computer Science or a related technical field, or equivalent practical experience.
- 5+ years of production software development experience with Python, Java, or Scala.
- Experience deploying and operating Kubernetes services, including in regulated environments.
- Experience with distributed systems such as Spark, Hadoop, and Kafka.
- Experience with relational SQL databases, including Postgres, and testing large codebases.
Nice to have
- Experience with AWS services, AWS GovCloud, or FedRAMP-compliant environments.
- AWS Certified Machine Learning Specialty or Solutions Architect certification.
- Experience with TensorFlow Serving, TensorRT, Triton, KServe, Airflow, or Kubeflow.
- Microservices development with Django or Spring.
- Experience with NoSQL databases, including Elasticsearch.
Culture & Benefits
- Hybrid work arrangement with three onsite days per week.
- Medical, dental, and vision benefits.
- 401(k), disability, life, and AD&D insurance.
- Paid parental leave, statutory leave, and paid holidays.
- Equal opportunity workplace focused on diversity and inclusion.
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