AI/ML Software Engineer - Financial Services

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About this kind of role

What a AI/ML Software Engineer - Financial Services usually does. The employer's own details are in the listing.

Typically does: Develops and implements artificial intelligence and machine learning models to solve business problems within a financial services environment. This includes designing, building, and deploying algorithms for tasks like fraud detection, risk assessment, and algorithmic trading. Responsibilities often involve data analysis, feature engineering, model evaluation, and ensuring the scalability and reliability of AI/ML solutions. Collaboration with data scientists, engineers, and business stakeholders is a frequent requirement.

Tools and skills: Proficiency in programming languages like Python and R, experience with machine learning frameworks such as TensorFlow or PyTorch, and familiarity with cloud computing platforms (e.g., AWS, Azure, GCP) are generally expected.

Good fit for: Individuals with a strong mathematical background, a passion for problem-solving, and the ability to translate complex data insights into practical applications thrive in this role.