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About us We are a global algo trading company fully dedicated to technology. Our brilliant team comprises 100+ individuals scattered across the globe. Seventy percent of our team members are technical specialists, encompassing development, infrastructure, testing, and analytics, while the rest comprise business units, including operations, legal, finance, etc. Responsibilities: Develop and maintain production-ready machine learning models using Python, C++, and TensorFlow. Integrate and deploy ML models into the company's trading infrastructure. Automate the model development, training, and deployment process using tools like MLflow. Monitor model performance, identify issues, and implement mechanisms for model updating and retraining. Collaborate with quant researchers and trading teams to ensure the seamless integration of ML models into the trading workflow. Optimize model performance and efficiency to meet the high-frequency trading requirements. Continuously improve the MLOps pipeline and infrastructure to enhance model reliability, scalability, and reproducibility. Troubleshoot and resolve issues related to the deployment and operation of ML models. Document and maintain the MLOps processes and best practices. Requirements: Bachelor's or Master's degree in Computer Science, Data Science, or a related field. Extensive experience in Python or C++ programming, with a strong understanding of software engineering best practices. Proficient in TensorFlow and other popular machine learning frameworks. Hands-on experience with MLflow or similar ML lifecycle management tools. Familiarity with cloud computing platforms (AWS) and containerization technologies (Docker, Kubernetes). Strong problem-solving and critical thinking skills to analyze and optimize ML models. Excellent communication and collaboration skills to work effectively with cross-functional teams. English proficiency at the B2 level or higher. Nice to have: Experience in high-frequency trading or financial services is preferred but not mandatory. What we offer: Working in a modern international technology company without bureaucracy, legacy systems, or technical debt; Excellent opportunities for professional growth and self-realization; Remote work from anywhere in the world with flexible schedule; Compensation for health insurance, sports activities, and non-professional training.Похожие вакансии