Machine Learning Developer

Job Summary:
We are looking for a skilled and experienced Financial Machine Learning Developer to join our team. The ideal candidate should have expertise in Python, Microsoft Azure, Linux and all the libraries required to implement financial machine learning algorithms such as Microsoft QLib. The candidate will work closely with our financial analysts and data scientists to develop, test and implement cutting-edge machine learning algorithms for our financial products.

Key Responsibilities:

• Design, develop and deploy machine learning algorithms to support our financial products.
• Collaborate with data scientists, financial analysts and other stakeholders to understand business requirements and create solutions.
• Build scalable, efficient, and high-performance machine learning models.
• Work with large, complex data sets and ensure data quality.
• Use machine learning libraries such as TensorFlow, Keras, scikit-learn, and PyTorch to implement models.
• Create pipelines and workflows to automate the data preprocessing and model training process.
• Build and maintain cloud-based infrastructure on Microsoft Azure.
• Stay up-to-date with the latest trends and advancements in the field of machine learning.

Requirements:

• Bachelor's or Master's degree in Computer Science, Mathematics, Statistics, or a related field.
• Strong knowledge of Python and its libraries for data manipulation, analysis, and visualization.
• Experience with machine learning libraries such as TensorFlow, Keras, scikit-learn, and PyTorch.
• Expertise in Microsoft Azure cloud computing and services.
• Familiarity with Linux operating system and command-line interface.
• Experience with financial data and knowledge of financial markets and instruments is a plus.
• Excellent problem-solving skills and the ability to work independently and collaboratively in a team environment.
• Strong communication and interpersonal skills.

If you have a passion for financial machine learning, are self-motivated and driven to succeed, and meet the above requirements, please apply with your resume and a cover letter explaining your experience in this field.