Senior Consultant – Artificial Intelligence & Data
Job location
Bangkok, Thailand
Type
Full Time
Responsibilities:
Partner with manufacturing clients to identify data-driven solutions for key challenges across the production lifecycle.
Translate manufacturing domain expertise into actionable data strategies and implementation plans.
Design and develop robust data pipelines on GCP using tools like Cloud Dataflow, Apache Beam, or Airflow to ingest, transform, and manage manufacturing data.
Leverage expertise in Python and SQL to build and execute data analysis pipelines for extracting valuable insights.
Utilize Vertex AI and Vertex Gen AI to develop and deploy machine learning models that optimize manufacturing processes, predict equipment failures, and improve quality control.
Employ containerization technologies like Kubernetes to manage and scale data processing workloads efficiently.
Design and implement automated test scripts using Python or SQL to ensure the integrity and reliability of data pipelines and models.
Collaborate with data scientists, engineers, and other stakeholders to ensure seamless integration of data solutions with existing manufacturing workflows.
Stay up to date on the latest advancements in GCP data & analytics services, AI applications in manufacturing, and industry best practices.
Develop and deliver impactful presentations and training sessions to educate stakeholders on data-driven decision making.
Document data pipelines, machine learning models, and best practices to ensure knowledge transfer and ongoing success.
Requirements & Skills:
Minimum 5+ years of experience in the manufacturing industry with a proven track record of implementing data-driven solutions.
In-depth knowledge of data pipelines, data ingestion, data transformation, and data management best practices.
Strong proficiency in Python and SQL for data analysis and scripting.
Experience designing and deploying machine learning models in a production environment (Vertex AI, Vertex Gen AI a plus).
Familiarity with container orchestration platforms like Kubernetes.
Proven experience with Google Cloud Platform (GCP) and its core data & analytics services.
Understanding of DevOps principles and best practices.
Excellent communication, collaboration, and presentation skills.
Ability to translate complex technical concepts into clear, actionable plans for stakeholders with varying technical backgrounds.
A passion for learning and staying current with the latest advancements in cloud technologies and AI in manufacturing.
