обновлено 11 дней назад
Senior Staff / Staff Machine Learning Engineer (AI/LLM)
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Senior Staff / Staff Machine Learning Engineer (AI/LLM): Building foundational, language, vision, and compound AI models and end-to-end pipelines for complex eCommerce scenarios with an accent on GenAI, AI agents, NLP, and large-scale machine learning. Focus on training and deploying foundation models, designing experiments and inference platforms, and ensuring security and compliance across model development.
Location: Singapore, Singapore
Company
is a large global public commerce company combining startup culture with large-scale resources to build high-tech shopping, eating, and lifestyle services.
What you will do
- Develop GenAI and AI-agent systems for complex eCommerce scenarios.
- Build and train large language, vision, foundational, and compound AI models.
- Define experiments and processes for end-to-end foundation models.
- Build pipelines for storing and serving foundational models.
- Mentor engineers on data lakes, normalization, dimensionality reduction, visualization, and statistical modeling.
- Collaborate across teams to align knowledge capture and foundational models with the AI strategy while ensuring security and compliance.
Requirements
- 5+ years of data science experience, including large-scale foundational models for eCommerce.
- Expertise in large language model post-training and deployment, with a deep understanding of AI, LLM, AIGC, and ML architectures.
- Strong statistical and mathematical background in metrics, learning functions, and result analysis.
- Significant experience with SQL, Python, PySpark, Scala, R, PyTorch or TensorFlow, Spark, and BigQuery.
- Experience with cloud analytical stacks, data lakes, warehouses, ETL pipelines, and inference platforms in AWS, Azure, or open-source environments.
- B.S. or M.S. in Computer Science, Mathematics, or a related field, plus strong communication and teamwork skills.
Culture & Benefits
- Startup culture backed by the resources of a large global public company.
- Opportunity to work on AI, NLP, AIGC, ML, LLM, reinforcement learning, knowledge graphs, and multimodal models.
- Entrepreneurial environment focused on customer impact, innovation, and hands-on ownership.
Hiring process
- Application review, phone interview, and onsite or virtual onsite interview.
- Offer follows the interview process; scheduling and process details may vary by role.
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