AccelOne

Data Scientist

• Design and deliver advanced analytical and machine learning solutions
• Develop and deploy machine learning models for financial use cases
• Perform exploratory data analysis on structured and unstructured datasets
• Design scalable machine learning pipelines
• Lead model validation and regulatory compliance
• Present insights and recommendations to senior stakeholders

Solutions Engineer

• Define enterprise-level data architecture frameworks (e.g., data lake, data warehouse)
• Lead architecture of AI and machine learning platforms
• Collaborate with business, technology, and risk teams

Data Solutions Architect

Data Engineer

• Build and maintain scalable, reliable, and secure data platforms
• Design and implement robust ETL/ELT pipelines for structured and unstructured data
• Ensure data quality, lineage, governance, and compliance across data platforms
• Collaborate with Data Science and AI teams to productionize machine learning pipelines
• Monitor and troubleshoot data workflows and system performance

Frontend Engineer

• Lead the development and maintenance of front-end features and UI components using React.js.
• Translate design mockups and wireframes into responsive, accessible interfaces.
• Collaborate with backend developers to integrate APIs and ensure a seamless user experience.
• Participate in code reviews and contribute to maintaining a high-quality, scalable codebase.
• Identify and address performance bottlenecks and UI issues.
• Mentor mid-level and junior developers within the front-end team.
• Follow Agile methodologies and actively contribute to sprint planning and reviews.
• Document components, functionality, and style guidelines as needed.

Data Scientist

Data Solutions Architect

Data Engineer

Front-End Developer, React.js