about the company.Internetabout the team.Dataabout the job.Dedicate on the construction or upgrade of key data platform components, i.e. data streaming, data exposition, CI/CD etc adhering to the data platform roadmap.Evaluate technical options, propose best-practice solutions with comparative analysis, and implement components in Data Mesh way using automation approach (Infrastructure as Code), including troubleshooting and unit testing.Collaborate closel
about the company.Internetabout the team.Dataabout the job.Dedicate on the construction or upgrade of key data platform components, i.e. data streaming, data exposition, CI/CD etc adhering to the data platform roadmap.Evaluate technical options, propose best-practice solutions with comparative analysis, and implement components in Data Mesh way using automation approach (Infrastructure as Code), including troubleshooting and unit testing.Collaborate closel
Responsibilities:1. Convert the current drug discovery data into data that can be used for prospective model testing (benchmarks) and and model training2. Finetune and post-train open source models such as Qwen, LLaMA, DeepSeek and others for AI for science tasks3. Integrate expert post-trained models into the current drug discovery workflows, interfaces and toolsQualifications:1. Over 2-3 years experience in LLM post-training experience. 2. Master degree
Responsibilities:1. Convert the current drug discovery data into data that can be used for prospective model testing (benchmarks) and and model training2. Finetune and post-train open source models such as Qwen, LLaMA, DeepSeek and others for AI for science tasks3. Integrate expert post-trained models into the current drug discovery workflows, interfaces and toolsQualifications:1. Over 2-3 years experience in LLM post-training experience. 2. Master degree
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