Senior Big Data AI Engineer for FinTech Trading Platform | Remote

Are you an experienced Big Data and AI specialist with a strong foundation in financial mathematics and C++ development? Join our innovative team building a revolutionary cloud-based platform in the financial trading sector. We're seeking a talented Senior Big Data AI Engineer to design, develop, and optimize advanced algorithmic trading systems that leverage artificial intelligence and machine learning technologies. About the Project: Our client is developing a sophisticated cloud-based platform in the financial sector that uses cutting-edge AI and Big Data technologies to analyze market trends, identify trading opportunities, and execute transactions with exceptional efficiency. This system operates in real-time and requires both technical excellence and financial domain expertise. Key Responsibilities: - Design and implement scalable Big Data architectures to process financial market data volumes efficiently. - Develop AI/ML models for predictive analytics and algorithmic trading strategies. - Build high-performance, low-latency data processing pipelines using C++ and modern Big Data technologies. - Optimize algorithms for real-time market data analysis and trading decision support. - Implement robust monitoring and testing frameworks to ensure system reliability and uptime. - Collaborate with quantitative analysts to translate mathematical models into efficient code. - Deploy and maintain ML models across multiple cloud platforms including AWS, GCP, and Azure. - Research and integrate emerging AI, ML, and Big Data technologies to enhance system capabilities. - Participate in code reviews and uphold high standards for code quality and documentation. - Troubleshoot complex issues in distributed computing environments quickly and effectively. Required Skills and Qualifications: - Bachelor's or Master's degree in Financial Mathematics, Quantitative Finance, or Computer Science. - 5+ years of experience in Big Data technologies and artificial intelligence applications. - Strong C++ programming skills with performance optimization expertise (C++17/C++20). - Proven experience with Big Data frameworks such as Apache Hadoop, Spark, and Kafka. - Proficiency in AI/ML libraries including TensorFlow, PyTorch, and scikit-learn. - Experience with major cloud platforms (AWS, GCP, and Azure). - Strong understanding of data structures, algorithms, and computational complexity. - Knowledge of distributed systems and parallel computing principles. - Familiarity with financial markets, trading systems, and financial instruments. - Experience with time series analysis and predictive modeling techniques. - Excellent problem-solving skills and meticulous attention to detail. Nice to Have: - Ph.D. in Machine Learning, Financial Engineering, or related field. - Prior experience developing real-time trading applications or high-frequency trading systems. - Knowledge of regulatory requirements in financial technology. - Experience with GPU acceleration for machine learning workloads. - Familiarity with containerization technologies like Docker and Kubernetes. - Experience with NoSQL databases such as MongoDB and Cassandra. - Contributions to open-source projects related to Big Data or AI. - Publications in relevant academic or industry journals. Why Join Us: Work with a forward-thinking team at the intersection of finance and cutting-edge technology. We offer competitive compensation, flexible remote work arrangements, and continuous learning opportunities. You'll tackle challenging problems that impact the global financial ecosystem while working in a collaborative environment that encourages innovation and professional growth.