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.
Experience you’ll bring
Educational Foundation: Bachelor's degree in Computer Science, Machine Learning, Software Engineering,
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.
Preferred Skills
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.
