Machine Learning Engineer
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
TL;DR
Machine Learning Engineer (Data Science): Bridging the gap between data science and production systems by deploying and maintaining ML models with an accent on real-time sensor data processing and reliable service architecture. Focus on optimizing inference pipelines, implementing robust monitoring, and scaling diagnostics for industrial equipment.
Location: Remote (Brazil)
Company
is an industrial technology company transforming maintenance through a platform that integrates hardware and software to deliver actionable intelligence.
What you will do
- Deploy and maintain machine learning models developed by the data science team.
- Design and implement APIs and real-time inference services for industrial diagnostics.
- Process and analyze large-scale time-series datasets from vibration and sensor systems.
- Improve the performance, reliability, and scalability of model serving pipelines.
- Monitor system health, implementing logging, alerting, and fallback mechanisms.
- Contribute to architectural decisions and collaborate across cross-functional teams.
Requirements
- 2–4+ years of experience in software or machine learning engineering.
- Bachelor’s degree in Computer Science, Engineering, or a related technical field.
- Solid background in mathematics, statistics, and machine learning concepts.
- Strong Python skills and experience with libraries like scikit-learn or PyTorch.
- Proven experience deploying models in production environments.
- Familiarity with event-driven platforms and message queues such as Kafka or Redis Streams.
Nice to have
- Experience with containerization (Docker) and cloud deployment.
- Exposure to real-time or low-latency systems.
- Interest in optimizing inference latency and resource usage.
Culture & Benefits
- Competitive salary and stock options.
- 30 days of paid annual leave.
- Education and courses stipend for professional development.
- Travel incentive: earn a trip anywhere in the world every 4 years.
- Comprehensive health plan with national coverage and no coparticipation.
- Wellhub and sports incentive program.
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