Software Development Trainee

• Contribute to impactful projects: Work on challenging projects that leverage AI/ML to address critical business needs in areas such as fraud prevention, credit risk assessment, and data-driven real time decision making.

• Contribute to impactful projects: Work on challenging projects that leverage 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: Help develop and enhance our agentic AI platform, building intelligent agents that automate workflows, assist decision-making, and solve real-world problems across engineering, product, operations, and customer experiences.
• Data Transformation: Develop advanced platforms and tools to process, enrich, and optimize core company data, ensuring it’s easy and efficient to use—unlocking value for both customers and internal teams.
• Develop and deploy AI/ML models: Design, implement, and evaluate machine learning models, applying advanced techniques to solve complex problems in a fast-paced tech landscape.
• Work with big data technologies: Gain experience with big data tools and technologies, including data ingestion, processing, and analysis.
• Collaborate with experts: Partner with experienced engineers and researchers to brainstorm solutions, overcome technical challenges, and contribute to innovative projects.
• Present your work: Share your research findings and project outcomes with the team and stakeholders.

• Educational Foundation: Currently pursuing a Bachelor's degree in Computer Science, Machine Learning, Software Engineering, or related field and will have completed at least your Sophomore year of school at the start of the internship.

• Educational Foundation: Currently pursuing a Bachelor's degree in Computer Science, Machine Learning, Software Engineering, or related field and will have completed at least your Sophomore year of school at the start of the internship.
• Strong Programming Skills: Proficient in coding (Python, Java, Go, etc), 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.

• 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.
• Customer-Centric: A strong desire to solve customer and business problems through thoughtful and effective solutions.
• Solution-Oriented: Desire to learn robust design solutions for small to medium-scale problems or system components.
• Excellent communication skills: Ability to clearly communicate technical ideas and collaborate effectively with team members.
• Self-Driven Learner: Highly motivated, curious, and eager to explore new technologies and apply them to enhance productivity and deliverables. For example, proactively utilizing GenAI tools to streamline workflows and build cutting-edge solutions.
• Passion for Innovation: Enthusiasm for working with big data technologies, AI/ML, risk engineering, and cloud infrastructure.