Software Development Engineer 1-2

About the Role

Seeking a highly motivated and talented graduate student in Computer Science or a related field to join our Data, AI, and Risk Technology (DART) team as a Software Engineer 1. This is a unique opportunity to contribute to cutting-edge AI/ML applications, our next-generation agentic AI platform, Big Data, fraud and credit risk technologies in the FinTech industry, working alongside experienced engineers and researchers to solve real-world challenges. You will gain valuable experience building AI agents, developing and deploying AI/ML models, working with big data and risk technologies, and contributing to a dynamic and innovative team.

Key Responsibilities

• Contribute to impactful projects leveraging AI/ML to address critical business needs in areas such as fraud prevention, credit risk assessment, and data-driven real-time decision making.
• Build agentic AI solutions, developing and enhancing our agentic AI platform and building intelligent agents.
• Develop advanced platforms and tools for Data Transformation, processing, enriching, and optimizing core company data.
• Develop and deploy AI/ML models, applying advanced techniques to solve complex problems.
• Work with big data technologies, including data ingestion, processing, and analysis.
• Collaborate with experienced engineers and researchers.
• Present research findings and project outcomes.

Requirements & Tech Stack

• Strong Programming Skills: Proficient in Python, Java, Go, automated testing, and system monitoring.
• AI/ML Expertise: Solid understanding of machine learning algorithms, techniques, and best practices.
• Data-driven mindset: Experience working with data, including data analysis, manipulation, and visualization.

Qualifications

• Educational Foundation: Bachelor's degree in Computer Science, Machine Learning, Software Engineering.
• Customer-Centric: A strong desire to solve customer and business problems.
• Solution-Oriented: Desire to learn robust design solutions.
• Excellent communication skills.
• Self-Driven Learner: Highly motivated, curious, and eager to explore new technologies.
• Passion for Innovation: Enthusiasm for working with big data technologies, AI/ML, risk engineering, and cloud infrastructure.

Preferred Skills include experience with cloud computing platforms (AWS, Azure, GCP), familiarity with DevOps practices and tools, contributions to open-source projects or publications, and familiarity with data ingestion, cleaning, processing, enrichment, SQL, data warehouses, ELT, AI/ML, and anomaly detection.