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Responsibilities:
Perform data mining by manipulating and drawing insights from large unstructured datasets.
Develop end-to-end Machine Learning prototypes and scale them to run in production environments. Including data cleaning, pre-processing, model selection, hyperparameter tuning, and prediction generation.
Design and work on state-of-the-art Machine Learning algorithms to build a data classification model.
Built interactive dashboards and integrated it with model's training and validation pipelines.
Provide assistance with a product or product component development within the technology domain
Provide third line support to identify the root cause of issues and react to systems and application outages or networking issues
Support projects and provide project status updates to project manager or Sr. Engineer
Partner with development teams to identify engineering requirements and assist with defining application/system requirements and processes
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency.
Qualifications:
2-5 years of relevant experience with Python and Big Data
Languages: Python, R, Matlab, SQL.
Frameworks: PyTorch, Scikit-learn, Numpy, Pandas, Seaborn, Matplotlib, Plotly, Flask, Tableau, Keras, stats models.
Tools and Services: Docker, AWS (Amazon Web Services), Apache Spark, Git.
Expertise: Machine Learning, Deep Learning, Statistics Analysis and Computing, Data Visualization, Data Wrangling, Data Modelling and Evaluation, Model Deployment
Experience working in Financial Services or a large complex and/or global environment is a plus
Consistently demonstrates clear and concise written and verbal communication
Comprehensive knowledge of design metrics, analytics tools, benchmarking activities and related reporting to identify best practices
Demonstrated analytic/diagnostic skills
Ability to work in a matrix environment and partner with virtual teams
Ability to work independently, prioritize, and take ownership of various parts of a project or initiative
Ability to work under pressure and manage to tight deadlines or unexpected changes in expectations or requirements
Proven track record of operational process change and improvement
Education:
Bachelor’s degree/University degree or equivalent experience
Anticipated Posting Close Date:
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