Senior Data Scientist
Senior Data Scientist
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Job Description
Get to Know the Team
The Data Science (GrabMaps) team at Grab focuses on building map-based intelligence such as POI search and recommendation data curation ETA traffic forecasting routing and positioning. Our work powers multiple Grab services like transport allocation logistics and pricing. We use computer vision NLP and information retrieval along with conventional machine learning methods on a variety of signals including images videos text sensor readings and GPS probes to understand places and road networks. We also help develop scalable models through deep research to delight our customers with intelligent products. We foster a culture that supports the freedom to explore and innovate.
Get to Know the Role
You will report to Lead Data Scientist and be based at Chengao Plaza Chaoyang District Beijing.
The Critical Tasks You Will Perform
- Identify areas for investigation translate them to technical problems to be solved explain solutions to tech and non-tech team members
- Oversee end-to-end small/moderate products/services from design to production rollout
- Define hypotheses develop necessary tests experiments and data analyses to prove or disprove them independently
- Develop and increase deep learning and machine learning algorithmsincluding generative AI Large Language Models (LLMs) and multi-modal modelsfor real-world impact
- Fine-tune evaluate and adapt LLMs (e.g. GPT Llama Qwen) and other foundation models using both supervised and reinforcement learning approaches
- Architect agentic AI workflows using modern orchestration frameworks (e.g. LangChain LlamaIndex OpenAI Function Calling) including tool integration chaining and multi-agent coordination
- Contribute to teams innovation and IP creation
- Keep up with the latest literature in Search / Recommendation Natural Language Processing/LLMs or Computer Vision
Qualifications :
What Essential Skills You Will Need
- Master in Computer Science Electrical/Computer Engineering Operations Research.
- Hands-on experience in deep learning and AI with expertise in LLMs including fine-tuning prompt engineering and adapting foundation models for downstream tasks
- Demonstrated experience deploying LLMs and other large-scale AI models to production:
- 1 years of experience serving LLMs and agentic systems in production environments (e.g. TorchServe Triton or Ray Serve)
- Knowledge of model compression quantization and techniques for optimizing inference latency and cost
- Familiarity with GPU/TPU acceleration and distributed inference architectures
- Experience implementing and maintaining scalable pipelines for data preprocessing model training fine-tuning and automated evaluation
- Proficiency in deep learning frameworks (TensorFlow PyTorch) and deployment tools (ONNX tf-serving TorchServe Triton Inference Server)
- Solid software engineering skills in Python/Spark; knowledge of GoLang or Rust
- Experience with model versioning CI/CD for ML containerization (e.g. Docker) and cloud-based deployment (AWS GCP Azure)
Additional Information :
Life at Grab
We care about your well-being at Grab here are some of the global benefits we offer:
- We have your back with Term Life Insurance and comprehensive Medical Insurance.
- With GrabFlex create a benefits package that suits your needs and aspirations.
- Celebrate moments that matter in life with loved ones through Parental and Birthday leave and give back to your communities through Love-all-Serve-all (LASA) volunteering leave
- We have a confidential Grabber Assistance Programme to guide and uplift you and your loved ones through lifes challenges.
- Balancing personal commitments and lifes demands are made easier with our FlexWork arrangements such as differentiated hours
What We Stand For at Grab
We are committed to building an inclusive and equitable workplace that enables diverse Grabbers to grow and perform at their best. As an equal opportunity employer we consider all candidates fairly and equally regardless of nationality ethnicity religion age gender identity sexual orientation family commitments physical and mental impairments or disabilities and other attributes that make them unique.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
