EU Commercial Data Engineer developing scalable data solutions for Genmab’s commercial teams. Collaborating with cross - functional teams to enhance business insights and decision making through reliable data.
About the role
- Data Engineer ETL responsible for AI model data cleaning and development. Leading projects in a hybrid work environment in Singapore.
Responsibilities
- 1. Responsible for data cleaning (ETL) and data warehouse construction to support large-scale AI models.
- 2. Responsible for training and fine-tuning large AI models to meet the requirements of specific business scenarios.
- 3. Responsible for developing supporting tools, such as dashboards and general business logic, to ensure the practicality of AI model applications.
- 4. Must have hands-on development experience and be able to lead a team or independently complete projects related to data collection and development.
Requirements
- 1. A degree in computer science or a related field is preferred. Must be familiar with professional knowledge in machine learning, deep learning, and natural language processing, with at least 1 year of experience in GPT or Gemini application development, and proficient in deep learning frameworks such as PyTorch or TensorFlow.
- 2. Familiar with models such as Transformer, BERT, GPT, and fine-tuning algorithms like LoRA, with experience in fine-tuning models.
- 3. Must have Java programming experience.
- 4. Experience in backend Java development for data engineering use cases, particularly real-time processing with Apache Flink.
- 5. Must have experience in data warehouse development and construction, such as using Flink and building ETL data cleaning pipelines.
- 6. Experience with large model pre-training and practical application in business scenarios is a plus.
- 7. Must have hands-on experience in setting up large models based on open-source frameworks.
- 8. Experience in conversational AI, marketing content generation, or machine translation is preferred.
- 9. Priority will be given to candidates with hands-on experience in Google Cloud Platform (GCP), particularly those with experience in BigQuery.
Benefits
- 1. Lead community-building for Southeast Asia's largest parenting ecosystem
- 2. Be at the forefront of connecting brands with real parents in authentic and impactful ways.
- 3. Work with a passionate team driving innovation in the parenting space.
- 4. Regional exposure across three of SSEA's most dynamic markets.
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