Machine Learning Engineer

Machine Learning Engineer Job Description

Mintus is a pioneering fintech company based in London, dedicated to revolutionizing the alternative investment landscape a state-of-the-art AI platforms to enable financial institutions expand asset classes, improve efficiency, and enhance investment performance.

We are looking for a highly capable machine learning engineer to optimize and enhance our machine learning systems. You will be responsible for evaluating existing processes, performing statistical analysis, and enhancing the accuracy of our ML models, ensuring it remains relevant, and up to date.

The ideal candidates must possess a broad understanding of data analysis and data engineering, enabling them to perform rigorous statistical analysis to resolve dataset problems and manage complex data modeling and will translate his/her expertise into enhanced predictive automation software that transforms decision-making for global financial institutions.

Responsibilities:

• Consulting with managers to determine and refine machine learning objectives.
• Designing machine learning systems and self-running artificial intelligence (AI) software to automate predictive models.
• Utilize semantic modeling to improve the management of complex financial data sets.

·      Collaborate with Data Analysts and engineers for data solutions for modelling purposes.

• Transforming data science prototypes and applying appropriate ML algorithms and tools.
• Ensuring that algorithms generate accurate user recommendations.
• Familiarity with big data technologies and selecting appropriate datasets and data representation methods.
• Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
• Developing ML algorithms on a large volumes of historical data for predictions.
• Running tests, performing statistical analysis, and interpreting test results.
• Documenting machine learning processes.
• Model onitoring in Production utilizing appropriate metrics and reporting.

Requirements & Skills:

• Degree in computer science, data science, mathematics, or a related field.
• Master’s degree in data analytics, or similar will be advantageous.
• At least two years' experience as a machine learning engineer.
• Advanced proficiency with Python, Java, and R code writing.
• Extensive knowledge of ML frameworks, libraries, data structures, data modeling, and software architecture.
• In-depth knowledge of mathematics, statistics, and algorithms.
• Strong analytical and problem-solving abilities and high attention to details.
• Great communication and collaboration skills.
• Excellent time management and organizational abilities.