Machine Learning Engineer

As part of the enterprise innovation labs, the ML Engineer is responsible for technology innovation and the next generation AI automation platforms by employing data analytics and various data science capabilities (i.e. machine learning, deep learning). Incumbents will be part of an innovative and energetic team with robust ML and industry experience that develops capabilities which will drive long-term success for the company. The ML Engineer will have access to the vast amount of data to solve complex problems independently and demonstrate analytical thinking and is able to make judgements and recommendations based on the analysis and interpretation of data. Essential Duties and Responsibilities: • Identify, research, prototype, and build predictive products • Build cutting-edge models for understanding vast amounts of textual data • Write quality production code • Write tests to ensure ML system reliability • Work closely with DevOps software engineers to launch systems • Guide and mentor team members and help educate the business stakeholders Required Experience: • Should have at least one core programming expertise, such as python (NumPy, SciPy, Pandas) or R. • Experience with advanced machine learning methods in NLP. • Strong statistical knowledge, intuition, and experience modelling real data. • Ability to communicate complicated methods and results to a broad, often non-technical audience • Demonstrated effective coding, documentation, and communication habits • Experience in Financial Services or Wealth Management industries strongly preferred.