Software Development Trainee-1

Overview

A 13-week paid summer internship on the Data, AI, and Risk Technology (DART) team, working on AI/ML applications, an agentic AI platform, big data, and fraud and credit risk technologies in FinTech.

What you'll do

• Contribute to impactful projects that leverage AI/ML for fraud prevention, credit risk assessment, and data-driven real-time decision making.
• Help build and enhance the agentic AI platform, including intelligent agents that automate workflows and assist decision-making.
• Develop tools and platforms to process, enrich, and optimize core company data.
• Design, implement, and evaluate machine learning models.
• Gain experience with big data tools, including data ingestion, processing, and analysis.
• Partner with experienced engineers and researchers to brainstorm solutions and overcome technical challenges.
• Present research findings and project outcomes to the team and stakeholders.

What you'll need

• Currently pursuing a Bachelor's degree in Computer Science, Machine Learning, Software Engineering, or a related field.
• Will have completed at least your Sophomore year of school at the start of the internship.
• Proficient in coding (Python, Java, Go, etc.), automated testing, and system monitoring.
• Solid understanding of machine learning algorithms, techniques, and best practices.
• Experience working with data, including data analysis, manipulation, and visualization.

Nice to have

• Experience with cloud computing platforms (AWS, Azure, GCP).
• Familiarity with DevOps practices and tools.
• Contributions to open-source projects or publications in relevant conferences.
• Familiarity with data ingestion, cleaning, processing, enrichment, SQL, data warehouses, ELT, AI/ML, anomaly detection, and related tools.
• A strong desire to solve customer and business problems through thoughtful and effective solutions.
• Desire to learn robust design solutions for small to medium-scale problems or system components.
• Excellent communication skills and the ability to clearly communicate technical ideas.
• Self-driven learner, highly motivated and curious, who proactively uses GenAI tools to streamline workflows.
• Enthusiasm for big data technologies, AI/ML, risk engineering, and cloud infrastructure.

Details

• Paid 13-week internship running from late May to mid-August.
• Remote, hybrid, and onsite options are offered.
• Location listed as India - Bangalore.