<p><strong>What role you will play in team:</strong> You will be a crucial part of our team, building and deploying machine learning models for financial applications.</p><p><strong>What you will do:</strong> You will work on large datasets and use advanced algorithms to create models for risk management and trading strategies.</p><p><strong>Key responsibility:</strong><ul><li>Design, develop and deploy machine learning models for financial applications.</li><li>Work with massive financial datasets using big data technologies.</li><li>Implement model monitoring and retraining procedures.</li><li>Collaborate with financial analysts and other engineers.</li><li>Develop and maintain robust and scalable machine learning pipelines.</li><li>Ensure compliance with industry regulations.</li></ul></p><p><strong>Required Qualification and Skills:</strong><ul><li>Master's degree in computer science, statistics, or related field.</li><li>1-2 years of experience in machine learning engineering.</li><li>Strong programming skills in Python or Java.</li><li>Experience with various machine learning libraries.</li><li>Knowledge of cloud computing platforms.</li></ul></p><p><strong>Benefits Included:</strong><ul><li>Competitive salary and comprehensive benefits.</li><li>Opportunities for continuous learning and professional growth.</li><li>Mentorship program with senior engineers.</li><li>Work from office.</li></ul></p><p><strong>A Day in the Life:</strong>  A day might involve developing new algorithms, improving existing models, working with large datasets, and collaborating with colleagues.  Problem-solving and attention to detail are crucial.</p>