3 дня назад
Senior Machine Learning Engineer (Fintech)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Machine Learning Engineer (Fintech): Building, deploying, and scaling production machine learning systems with an accent on ML infrastructure, real-time data systems, and operational reliability. Focus on designing low-latency, high-throughput architectures, implementing CI/CD and infrastructure automation, and running efficient models in production.
Location: Cape Town, South Africa
Company
builds fintech products that help small and medium-sized businesses manage cash flow, access funding, and use business banking services.
What you will do
- Build, deploy, and scale machine learning systems for production use.
- Consult with data scientists on training machine learning models.
- Improve ML infrastructure through data engineering and DevOps practices.
- Design real-time and event-driven systems that meet throughput and latency requirements.
- Implement non-functional requirements, reliability measures, and production safeguards.
Requirements
- Prior experience productionising machine learning systems.
- Advanced Python skills and familiarity with SQL.
- Working knowledge of Terraform and Infrastructure as Code.
- Hands-on experience with Kafka, Kafka Connect, Pub/Sub, Kubernetes, Docker, and deployment strategies such as canary and blue-green releases.
- Experience building CI/CD systems, applying software engineering practices to ML, and working with Big Data technologies such as Spark, Dataflow, or Flink.
- Experience with cloud providers such as GCP, AWS, or Azure, plus system design experience focused on performance and efficiency.
Nice to have
- Experience training machine learning models.
- Hands-on experience with MLOps tools such as KubeFlow, DVC, or MLflow.
- Prior experience or a strong interest in fintech.
Culture & Benefits
- Curiosity and a solutions-over-problems mindset.
- Collaborative work with an emphasis on strong relationships and diverse perspectives.
- Purpose-driven product development focused on improving outcomes for SMEs.
- Ambitious execution with a focus on challenging goals and delivery.
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