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1 день назад

Senior Data Platform Developer (AI Platform)

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 Data Platform Developer (AI Platform) (Python/Cloud/Generative AI): Building and maintaining internal machine learning platforms, generative AI applications, and agent infrastructure with an accent on production systems, scalable data integration, and platform observability. Focus on designing cloud-native services, enriching telematics data at scale, and supporting model training and deployment for data scientists and internal teams.

Location: Atlanta, Georgia, USA, with a flexible hybrid work model supporting both in-person and virtual work. Home-based work requires a reliable internet connection with at least 50 Mbps download and 10 Mbps upload.

Company

hirify.global develops IoT, connected transportation, fleet management, vehicle data analytics, and machine learning solutions for businesses.

What you will do

  • Develop and maintain machine learning platforms, models, generative AI applications, and agents.
  • Implement logging, monitoring, and alerting services for AI platform infrastructure.
  • Build scalable processes to enrich big data with telematics data.
  • Work with data scientists and internal teams to design infrastructure and data integration solutions.
  • Create and maintain architecture, requirements, and process-flow documentation.
  • Support the integration of newly developed AI platforms across internal services and customer-facing production applications.

Requirements

  • Degree in Computer Science, Software Engineering, Computer Engineering, or a related field.
  • 3–5 years of experience in software development or a similar role.
  • 3–5 years of experience building production-level systems with Python.
  • 3–5 years of experience developing and maintaining production services on GCP, AWS, or Azure.
  • 1–5 years of experience designing and maintaining production containerization with Docker, Kubernetes, or OpenShift.
  • Knowledge of AI/ML platforms such as Ray, Vertex AI, and Bedrock, and familiarity with big data environments such as Google BigQuery.

Nice to have

  • Experience fine-tuning and self-hosting vision large language models.
  • Familiarity with generative AI frameworks such as LangGraph, CrewAI, and LiteLLM.
  • Experience with OpenSpec, Ralph, Agent Sandbox, and Sourcegraph.

Culture & Benefits

  • Flexible hybrid work model with support for in-person, virtual, and asynchronous collaboration.
  • Home office reimbursement program.
  • Medical and dental benefits and a retirement savings program.
  • Parental leave top-up, baby bonus, and electric vehicle purchase incentive programs.
  • Online learning, networking opportunities, and virtual social events.
  • Benefits apply to full-time permanent employees.

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