обновлено 2 дня назад
Machine Learning Platform Engineer (AI)
Вакансия из Hirify Global, списка международных tech-компанийДля мэтча и отклика нужен Plus
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Machine Learning Platform Engineer (AI/MLops): Building scalable machine learning infrastructure and low-latency inference services for sports betting and daily fantasy platforms with an accent on feature stores, real-time data, and production reliability. Focus on designing automated training and deployment pipelines, monitoring model drift, and enabling self-service development for ML and Data Science teams.
Location: Remote within the United States; Atlanta, Georgia preferred. Applicants must be authorized to work for any employer in the U.S. Visa sponsorship is not available.
Company
operates a Daily Fantasy Sports platform covering sports leagues including the NFL, NBA, and esports.
What you will do
- Design and build end-to-end machine learning infrastructure for moving experimental Data Science models into highly available production services.
- Develop automated deployment systems for low-latency model inference serving decisions in under 100 milliseconds.
- Build and optimize a centralized feature store that combines historical batch data with real-time event streams.
- Operate ML platform components for training and experimentation in collaboration with the Infrastructure team.
- Implement model deployment, monitoring, CI/CD, automated retraining, and observability to detect data drift and model degradation.
- Enable self-service model development and deployment for ML and Data Science teams.
Requirements
- 3+ years of Platform Engineering experience deploying and maintaining scalable ML platforms in high-traffic production environments.
- 1+ year owning production ML systems end-to-end, including on-call and incident response.
- Experience with streaming architectures such as Kafka, Flink, or Pub/Sub and low-latency inference services.
- Experience managing the ML lifecycle with tools such as SageMaker, Vertex AI, vector databases, graph databases, Redis, or Elasticsearch.
- Proficiency with Docker, Kubernetes, cluster-level management, Python, and Go.
- U.S. work authorization for any employer is required; visa sponsorship is unavailable.
Nice to have
- C++, Rust, Daily Fantasy Sports, oddsmaking, or high-frequency trading experience.
- Experience scaling feature stores and enabling AI agents or AI-assisted coding.
Culture & Benefits
- Medical, dental, and vision plans with company subsidies.
- 401(k) plan with company match and annual bonus.
- Flexible PTO, paid parental leave, and disability benefits.
- Flexible work schedules and company equipment with Windows and Mac options.
- In-person company events, team outings, lifestyle enhancement benefits, and career development opportunities.
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