• Design and implement machine learning algorithms for data analysis and predictive modeling.
• Develop scalable and efficient machine learning models for real-world applications in the financial industry.
• Work closely with cross-functional teams to gather business requirements and translate them into machine learning solutions.
• Optimize and fine-tune models to improve performance and accuracy.
• Analyze large datasets, identify trends, and generate actionable insights.
• Stay up-to-date with the latest developments in machine learning, AI, and finance.

We are looking for a talented Machine Learning Engineer to join our client's team and help drive their data-driven initiatives.

Our client is a leading company in the financial services industry, committed to providing innovative solutions and exceptional customer experiences.

• Bachelor's or Master's degree in Computer Science, Data Science, Mathematics, or a related field.
• Proven experience in machine learning and AI development (3+ years preferred).
• Strong knowledge of machine learning algorithms, deep learning, and statistical modeling.
• Proficiency in programming language: Python.
• Experience with machine learning libraries and frameworks (e.g., TensorFlow, PyTorch, scikit-learn).
• Strong problem-solving skills and the ability to work with large datasets.
• Experience with cloud platforms (e.g., AWS, GCP, Azure) and distributed computing is a plus.
• Good communication skills and the ability to work collaboratively in a team environment.
• Experience with version control systems (e.g., Git).

• Familiarity with reinforcement learning, NLP, or computer vision.
• Knowledge of big data technologies (e.g., Hadoop, Spark).
• Experience with MLOps and deployment of machine learning models.