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Sr. AI Engineer - contractor
22-32K/月上海市-上海/本科及以上/5-10年
李琳一周前来过
黑龙江揽才云人力资源有限公司
职位详情
岗位职责
任职要求：
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 5+ years of experience in machine learning or AI engineering field.
Pharma Domain Knowledge: Experience in applying AI/ML solutions within the pharmaceutical domain is highly desirable. Familiarity with USDM standards, CDISC, tools like cTAKES for medical text processing, and OpenStudyBuilder for clinical trial design is a strong advantage, is a big plus.
Proven ability to design scalable machine learning systems and integrate them into production environments.
Strong background in data analysis and preprocessing for model optimization.
Experience working with distributed systems to enhance model training efficiency using GPUs or TPUs.
Familiarity with ML observability tools tools, e.g. Weights and Bias, MLflow, for debugging and improving AI models in real-time.
岗位职责：
We are looking for a highly skilled AI Engineer with deep expertise across machine learning frameworks, large language models, Information Retrieval, and AI systems integration—particularly within life sciences and pharmaceutical applications. The AI Engineering Engineer will work closely with our AI engineering team to support the development, testing, and deployment of AI/ML solutions. This role provides a unique opportunity to gain hands-on experience with cutting-edge technologies and contribute to real-world projects that drive innovation within our organization.Programming & Frameworks: Proficient in Python with extensive hands-on experience in machine learning frameworks such as PyTorch, TensorFlow, and related libraries.
LLMs & Fine-Tuning: Expertise in large and small language models such as GPTs, Mistral, LLaMA, DeepSeek, Phi3, and etc. Skilled in fine-tuning techniques like PEFT/LoRA. Familiar with Reinforcement Learning with or without Human Feedback (RLHF, GRPO, etc.). Familiar with model distilling techniques.
ElasticSearch & Knowledge Retrieval Systems: Proficiency in Advanced Retrieval-Augmented Generation (RAG) methodologies. Hands-on experience with ElasticSearch and Elastic Stack for search optimization, vector databases like Chroma or Pinecone, and knowledge graph tools such as Neo4j.
Agent Building: Strong understanding of agentic frameworks. Capable of designing intelligent agents with dynamic reasoning capabilities. Familiarity with agent frameworks such as LangChain, LangGraph, Model Context Protocol (MCP) for building autonomous AI agents.
MLOps Expertise: Proficiency in MLOps practices, including CI/CD pipelines, model monitoring, and optimization. Experience in deploying scalable machine learning pipelines to production environments.
Kubernetes & Cloud Deployment: Skilled in deploying containerized machine learning models using Kubernetes for orchestration. Expertise in tools like Kubeflow for end-to-end ML workflow management and cloud platforms (AWS/Azure/GCP) for scalable infrastructure.
Bachelor’s or Master’s degree in Computer Science, Engineering, or a related field, with 5+ years of experience in machine learning or AI engineering field.
Pharma Domain Knowledge: Experience in applying AI/ML solutions within the pharmaceutical domain is highly desirable. Familiarity with USDM standards, CDISC, tools like cTAKES for medical text processing, and OpenStudyBuilder for clinical trial design is a strong advantage, is a big plus.
Proven ability to design scalable machine learning systems and integrate them into production environments.
Strong background in data analysis and preprocessing for model optimization.
Experience working with distributed systems to enhance model training efficiency using GPUs or TPUs.
Familiarity with ML observability tools tools, e.g. Weights and Bias, MLflow, for debugging and improving AI models in real-time.
岗位职责：
We are looking for a highly skilled AI Engineer with deep expertise across machine learning frameworks, large language models, Information Retrieval, and AI systems integration—particularly within life sciences and pharmaceutical applications. The AI Engineering Engineer will work closely with our AI engineering team to support the development, testing, and deployment of AI/ML solutions. This role provides a unique opportunity to gain hands-on experience with cutting-edge technologies and contribute to real-world projects that drive innovation within our organization.Programming & Frameworks: Proficient in Python with extensive hands-on experience in machine learning frameworks such as PyTorch, TensorFlow, and related libraries.
LLMs & Fine-Tuning: Expertise in large and small language models such as GPTs, Mistral, LLaMA, DeepSeek, Phi3, and etc. Skilled in fine-tuning techniques like PEFT/LoRA. Familiar with Reinforcement Learning with or without Human Feedback (RLHF, GRPO, etc.). Familiar with model distilling techniques.
ElasticSearch & Knowledge Retrieval Systems: Proficiency in Advanced Retrieval-Augmented Generation (RAG) methodologies. Hands-on experience with ElasticSearch and Elastic Stack for search optimization, vector databases like Chroma or Pinecone, and knowledge graph tools such as Neo4j.
Agent Building: Strong understanding of agentic frameworks. Capable of designing intelligent agents with dynamic reasoning capabilities. Familiarity with agent frameworks such as LangChain, LangGraph, Model Context Protocol (MCP) for building autonomous AI agents.
MLOps Expertise: Proficiency in MLOps practices, including CI/CD pipelines, model monitoring, and optimization. Experience in deploying scalable machine learning pipelines to production environments.
Kubernetes & Cloud Deployment: Skilled in deploying containerized machine learning models using Kubernetes for orchestration. Expertise in tools like Kubeflow for end-to-end ML workflow management and cloud platforms (AWS/Azure/GCP) for scalable infrastructure.
任职要求
无
工作地点
- 黄浦区新天地
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公司信息
某医药公司
- 上海
- 1000-9999人
- 生物技术
- 民营
- 不需要融资
百济神州是一家植根中国的全球性商业化生物医药公司，致力于成为分子靶向药物和免疫肿瘤药物研发，及商业创新领域的全球领导者。
2017年，百济神州与新基公司达成战略合作伙伴关系，向新基转让了tislelizumab在美国、欧洲、日本和亚洲以外的其他地区的实体瘤开发和商业化的独家权益，保留了在亚洲（除日本外）开发和商业化tislelizumab用于治疗实体瘤的权益，以及用于治疗恶性血液肿瘤和进行内部组合疗法的全球范围权益。
此外，百济神州获得了新基公司在华获批药物——注射用白蛋白紫杉醇（ABRAXANE？）, 瑞复美（REVLIMID？）和 维达莎（VIDAZA？）的独家授权，并接管其在华商业运营团队。
2018年1月，百济与Mirati公司sitravatinib在亚太地区的独家授权协议，进一步拓宽了公司的产品组合。
截至目前，百济神州在全球各地拥有超过1100名员工，其中包括在中国、美国、澳大利亚和瑞士的超过650名科学家及临床医学专家。
公司在中国的北京、上海、美国的马萨诸塞州Cambridge，新泽西州Fort Lee和加利福尼亚州旧金山Emeryville和San Mateo，瑞士的巴塞尔均设有办事机构。除此之外，百济神州在中国大陆还拥有位于北京的研发中心，苏州、广州两大生产基地，以及在上海的商业运营中心。
