5 часов назад
Senior AI/ML Platform Engineer (GovCloud)
148 500 - 221 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
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
provides the 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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