ml engineer
генерация резюме под вакансию
сопроводительное письмо
описание
The team builds next-generation AI-driven pricing algorithms for trading systems, operating at the intersection of machine learning, quantitative research, and trading technology to design, deploy, and scale production-grade ML solutions for high-performance trading environments.
задачи
- Build and deploy production ML systems;
- Develop scalable Python backend services and microservices;
- Take ML models from research into production;
- Design and optimize distributed data pipelines;
- Work with Kubernetes, Kafka, and cloud infrastructure;
- Build, train, and deploy models using PyTorch or TensorFlow;
- Collaborate with researchers, engineers, and quantitative specialists;
- Improve performance, reliability, and scalability of AI systems.
требования
- Experience with production ML systems;
- Proficiency in Python backend development;
- Experience with microservices and distributed systems;
- Knowledge of Kubernetes, Kafka, and cloud infrastructure;
- Proficiency in PyTorch or TensorFlow;
- Experience with NLP and LLM;
- Strong MLOps skills;
- Experience taking ML models from research to production;
- English B2+;
- Nice to have: Quantitative or financial background, research experience, strong mathematics, statistics, and probability knowledge.
условия
- No conditions specified
навыки
Если просят войти через iCloud, отправить коды из SMS, запустить код, что-то установить, перевести деньги или сделать что угодно, связанное с деньгами, не соглашайтесь: это признаки мошенничества.