AI Developer

Key Responsibilities:

– Design, develop, and manage robust databases to efficiently store and process large volumes of financial
and transaction data.
– Implement and maintain scalable data pipelines and ETL processes.
– Collaborate with cross-functional teams of subject matter experts to define data requirements and integrate
analytics into user-facing products.
– Continuously evaluate emerging technologies and methodologies to enhance data reliability,
efficiency, and quality.
– Present analytical findings and insights to stakeholders through clear visualizations, summary
statistics, and comprehensive reports.

Required Qualifications and Experience:

– Bachelor’s or master’s in data science, Computer Science, Statistics, or a STEM-related field.
Undergraduate seniors and close to completing Master’s degree are also welcome to apply.
– Proven experience of record for two or more years!
– Proven experience in database design and data management!
– Strong programming skills in Python, R, or other data science languages.
– Experience with SQL and NoSQL databases.
– Familiarity with machine learning frameworks (e.g., TensorFlow, PyTorch) and cloud services (e.g.,
AWS, Google Cloud).
– Ability to work collaboratively in a team environment.
– Be an independent worker who can still work within a reporting hierarchy.
– Excellent problem-solving skills and attention to detail.

Preferred Experience:

– Prior experience in crafting workflows for the financial industry.
– Prior experience deploying AI models in a production environment.
– Experience with data visualization tools (e.g., Tableau, PowerBI).
– Familiarity with Agile software development methodologies.