Machine Learning Engineer

Shaparak Tehran

Posted Over a month ago

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Salary

Applicant Insights

Job Description

Responsible for developing, enhancing, modifying and/or maintaining applications in the Banking Markets environment. Software developers design, code, test, debug and document programs as well as support activities for the corporate systems architecture. Employees work closely with business partners in defining requirements for system applications. Employees are expected to have in-depth capital markets product knowledge, and manage a high level of risk. Employees typically have in-depth knowledge of development tools and languages. Is clearly recognized as a content expert by peers. Individual contributor role. Typically requires 3-5 years of applicable experience. Responsibilities • Design and develop scalable ML/AI solutions to solve diverse business challenges by deriving features from rich data sources, training, evaluating and deploying models to production using cutting edge technologies • Gather and analyze data to perform statistical analysis, identify key factors and build comprehensive visualizations to report findings • Utilize statistical methods to process, clean and validate data for uniformity and accuracy • Create and maintain end-to-end data pipelines and APIs according to business requirements • Communicate analytic solutions to stakeholders and implement improvements as needed to operational systems

Requirements

• 3+ years in a data science role with proven record of implementing end-to-end ML/AI solutions into production • 3+ years of experience using statistical computer languages, such as Python • 3+ year of experience specifically with deep learning (e.g., CNN, RNN, LSTM) and NLP frameworks • 3+ year of experience specifically with deep learning Frameworks ( PyTorch, Tensorflow, Keras) • Excellent understanding of machine learning techniques and algorithms, such as k-NN, Naive Bayes, SVM, etc. and their real-world advantages/drawbacks • Rigorous understanding of statistics and ability to discern appropriate statistical techniques to problem-solve • Master’s degree or PhD in computer science, applied mathematics, or related technical/scientific field preferred • Prior work experience in the financial industry is a plus

Employment Type