Overview

We are looking for a highly motivated Data Scientist / AI & ML Engineer to design, develop, and deploy scalable AI-driven solutions for real-world digital services challenges.

Responsibilities

• Design and develop AI/ML solutions to address customer and business problems.
• Build, train, and deploy machine learning and deep learning models across use cases.
• Build and deploy LLM-powered applications using techniques such as prompt engineering, RAG (Retrieval-Augmented Generation), and fine-tuning.
• Develop scalable data architectures for large-scale data processing and analytics
• Set up and manage big data environments for rapid prototyping (on-premises and cloud)
• Design and develop agentic AI systems (multi-agent workflows, tool-using agents, autonomous decision loops)
• Collaborate with cross-functional teams to translate business requirements into technical solutions
• Build and maintain robust data pipelines using modern data engineering tools
• Optimize performance, reliability, and scalability of data and ML systems
• Enable seamless data access for researchers across programming environments
• Stay updated with the latest advancements in AI/ML, data engineering, and financial technologies
• Contribute to research initiatives, PoCs, and innovation-driven projects

Qualifications

• Strong hands-on experience in machine learning, statistical analysis, and data modeling
• Solid experience with big data technologies (Hadoop ecosystem, Spark, etc.)
• Proficiency in Python, R, or Shell scripting
• Strong programming skills in Java and/or Scala
• Familiarity with DevOps tools (Jenkins, CI/CD pipelines, containerization)
• Knowledge of data visualization/BI tools (Tableau, Power BI, etc.)
• Strong problem-solving, communication, and stakeholder management skills
• Master’s degree in Computer Science or related field
• Proven experience in building prototypes and production-grade PoCs
• Exposure to financial services or fintech domain (preferred)
• Exposure to fine-tuning, RLHF, or model optimization techniques

Nice to have

• Master’s degree in Computer Science or related field.

Education

• Wa – Harmony, Trust, Respect
• Makoto – Sincerity, Fairness, Honesty, Integrity
• Kaitakusha-Seishin – Pioneering Spirit, Challenge

Benefits

• Equal opportunity employer
• Flexibility with work environment