Position Title: Machine Learning Engineer
Location: Vellore, Tamil Nadu
Job Summary:
We are seeking an experienced Machine Learning Engineer to join our Fixed Income Data company. You will be responsible for developing and implementing machine learning models to support data mining and data processing across a range of fixed-income data products. The ideal candidate will have a strong background in machine learning, mathematics, statistics, natural language processing, and programming, as well as experience working in data processing.
Key Responsibilities:
• Collaborate with product managers, analysts, and other stakeholders to identify opportunities to leverage machine learning techniques to support and optimise data processing in fixed income.
• Design, develop, and implement machine learning models to classify or forecast financial data, and identify opportunities for new product generation, and optimise existing products.
• Develop and maintain datasets and data pipelines to support model development and deployment.
• Conduct analysis and research to support ongoing development of the fixed income data collection and processing.
• Communicate results and insights to stakeholders in a clear and concise manner.
Qualifications:
• Bachelor's or Master's degree in computer science, engineering, statistics, or a related field.
• 3+ years of experience in machine learning, statistics, or data science.
• Strong programming skills in Python, and experience working with large datasets.
• Experience with deep learning frameworks such as Tensorflow, Keras, or PyTorch.
• Understanding of financial data.
• Strong communication and interpersonal skills, with the ability to work collaboratively in a team environment.
Preferred Qualifications:
• Familiarity with natural language processing techniques and tools.
• Strong problem-solving skills and the ability to work effectively in a team or independently to deliver results.
• Experience working in financial data processing, preferably in fixed income.
• Knowledge of financial data sources and understanding of financial markets.