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2 days ago
We are seeking a seasoned Data Scientist to spearhead the post-training of large language models (LLMs). This role involves advancing cutting-edge algorithms for data mining, machine learning, and language applications.
Our ideal candidate will have at least 4 years of experience in developing large-scale training data, including processes for cleaning, labelling, augmentation, and generation of domain-specific datasets. They will be proficient in end-to-end deployment of applications driven by large models, covering development, testing, and launch phases.
Key responsibilities include implementing post-training and optimization tasks for LLMs, handling domain-specific data processes, designing and developing systems that integrate reasoning, multi-modal processing, multi-lingual modelling, and AI agent behaviour, and deploying LLM-based applications in different scenarios.
The successful candidate will possess expertise with Python programming along with competency in widely-used deep learning frameworks, such as TensorFlow and PyTorch. Strong communication skills are essential, as they will articulate technical achievements and collaborate with global teams.
Requirements- At least 4 years of relevant experience with a Master's degree in computer science or a related field
- Advanced knowledge of machine learning and deep learning principles
- Proficiency in Python programming and deep learning frameworks
- Strong communication and collaboration skills
We offer a range of benefits to support your well-being, including term life insurance, comprehensive medical insurance, flexible work arrangements, and opportunities for professional growth.
About UsWe are committed to building an inclusive and equitable workplace that enables diverse team members to grow and perform at their best.
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