<p><b>What role you will play in team:</b> You will be a key member of our team, building and deploying machine learning models for our financial trading platform. You will collaborate with software engineers and quantitative analysts.</p><p><b>What you will do:</b> You'll focus on model development, training, deployment, and performance monitoring, ensuring high availability and low latency for our trading applications.</p><p><b>Key responsibility:</b><ul><li>Develop and deploy machine learning models for high-frequency trading applications.</li><li>Design and implement efficient data pipelines for model training and deployment.</li><li>Optimize model performance for speed and accuracy.</li><li>Collaborate with software engineers to integrate models into the trading platform.</li><li>Monitor model performance and identify areas for improvement.</li><li>Stay up-to-date with the latest advancements in machine learning and high-frequency trading.</li></ul></p><p><b>Required Qualification and Skills:</b><ul><li>Master's or PhD in Computer Science, Engineering, or a related field.</li><li>Strong programming skills in C++, Python, or Java.</li><li>Experience with machine learning libraries (TensorFlow, PyTorch).</li><li>Experience with high-performance computing.</li><li>Knowledge of financial markets is a plus.</li></ul></p><p><b>Benefits Included:</b><ul><li>Competitive salary and benefits package.</li><li>Opportunities for professional development and career growth.</li><li>Challenging and rewarding work environment.</li><li>Work-life balance.</li><li>Hybrid working options.</li></ul></p><p><b>A Day in the Life:</b> A day involves model development, code optimization, performance monitoring, collaboration with the team, and staying current on the latest advancements in machine learning and finance.</p>