Infinitas by Krungthai

Infinitas by Krungthai is looking for talents to join our team. We are Thailand’s leading financial technology company with specializing in digital platforms, mobile banking and digital solutions.

Position : Data and AI Engineer

We are seeking a highly skilled Data & AI Engineer to play a pivotal role in transforming our data infrastructure and AI capabilities. The ideal candidate will have a strong background in data engineering and experience integrating Large Language Models (LLMs) into existing systems. As a Data & AI Engineer, you will collaborate with cross-functional teams to design, build, and maintain scalable data and AI platforms that drive business outcomes and transformation.

Key Responsibilities:

Essential:

1. Data Pipeline Development: Design, implement, and maintain data analytics pipelines and processing systems.
2. Data Modeling: Apply data modeling techniques and integration patterns to ensure data consistency and reliability.
3. Data Transformation: Write data transformation jobs through code to optimize data processing.
4. Data Management: Perform data management through data quality tests, monitoring, cataloging, and governance.
5. LLM Integration: Design and integrate LLMs into existing applications, ensuring smooth functionality and performance.
6. Model Development and Fine-Tuning: Develop and fine-tune LLMs to meet specific business needs, optimizing for accuracy and efficiency.
7. Performance Optimization: Continuously optimize LLM performance for speed, scalability, and reliability.
8. Infrastructure Knowledge: Possess knowledge of the data and AI infrastructure ecosystem.
9. Collaboration: Collaborate with cross-functional teams to identify opportunities to leverage data to drive business outcomes.
10. Continuous Learning: Demonstrate a willingness to learn and find solutions to complex problems.
11. Staying Current: Stay up-to-date with the latest developments in data analytics and AI technologies.

Desirable:

• System Design: Knowledge of system design and platform thinking to build sustainable solutions.
• Big Data Experience: Practical experience with modern and traditional Big Data stacks (e.g., BigQuery, Spark, Databricks, duckDB, Impala, Hive).
• Data Warehouse Solutions: Experience working with data warehouse solutions, ELT tools, and techniques (e.g., Airflow, dbt, SAS, Nifi).
• API Development: Experience with API design to facilitate integration of LLMs with other systems.
• Prompt Engineering: Skills in designing sequential tasks for LLMs to achieve efficient and accurate outputs.
• Agile Methodologies: Experience with agile software delivery and CI/CD processes.

Qualifications:

• Education: Bachelor's or Master's degree in Computer Science, AI, Engineering, or a related field.
• Experience: At least 3 years of experience in data engineering and modeling.
• Technical Skills: Proficiency in Python, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms.
• Cloud Computing: Familiarity with cloud computing platforms, such as GCP, AWS, or Databricks.
• Problem-Solving: Strong problem-solving skills with the ability to work independently and collaboratively.

Growth Potential: This role offers a clear path to advance into AI engineering, providing opportunities to work on innovative projects and develop new skills in AI transformation and machine learning.

Contact : [email protected]

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