AI & Data Engineer

2 days ago

Khlong Toei, Bangkok, Thailand Berli Jucker Public Company Limited Full time

Responsibilities

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

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
  • Technical Skills: Proficiency in Python, SQL, Java, experience with LLM frameworks (e.g., LangChain), and familiarity with cloud computing platforms. Additional, visualization tools i.e Power BI, Tableau, Looker, Qlik
  • 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.

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.
  • Visualization Solution: Skills in design and develop dashboard for analytic & insight
  • Agile Methodologies: Experience with agile software delivery and CI/CD processes.

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