Data Science Lead
这是一个远程职位。我们正在寻找一个数据科学领导者，加入一个高影响的 AI 项目，在严格监管的制药环境中运营。该角色重点是引领机器学习和 GenAI 架构后面生产级合规平台自动化市场材料的监管验证。这是一个战略性，企业规模的倡议，需要强大的拥有权，建筑思维和实操经验在 LLM 驱动系统。责任 ·设计和发展支持合规验证工作流程的 AI 和 ML 架构 ·设计和优化 LLM 驱動检索和验证管道 （RAG 基于系统）. · 实施与监管标准一致的可解释性和追溯性机制 · 与 ML 工程师和后端团队密切合作生产人工智能组件 · 在嵌入式，向量数据库和检索策略方面做出决策 ·确保可复制，可测试和高质量的人工智能工作流程 ·支持平台扩展到企业级人工智能解决方案 ·领导产品，工程和合规利益相关者的技术讨论 · 数据科学和应用机器学习方面的实践背景强 · 经验证明在生产中设计和部署基于 LLM 的系统 · 采集增强代工架构的实践经验 · 与向量数据库和嵌入管道的经验 · 强大的 Python 专业知识和熟悉现代人工智能框架 · 设计模型评估和验证框架的经验 • 在监管或合规性重环境下运营的能力 · 强有力的拥有者思维方式和影响建筑决策能力 · 多功能环境中的自信沟通技能 · 经验与文件智能和 NLP 重管道 · 在企业规模的 AI 平台而不是概念证明环境中的背景 收益 · 坚实的，竞争力的工资 · 在跨国项目中工作 ·全面医疗保健 · 与稳定的项目管道的长期 B2B 合同 · 全程远程工作模式 原始地在喜马拉雅山上发布
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This is a remote position.
We are looking for a Data Science Lead to join a high-impact AI programme operating within a strictly regulated pharmaceutical environment. The role focuses on leading the machine learning and GenAI architecture behind a production-grade compliance platform that automates regulatory validation of marketing materials. This is a strategic, enterprise-scale initiative requiring strong ownership, architectural thinking, and hands-on depth in LLM-driven systems.Responsibilities
- Design and evolve AI and ML architecture supporting compliance validation workflows
- Design and optimise LLM-driven retrieval and validation pipelines (RAG-based systems)
- Own evaluation frameworks, benchmarking strategies, and continuous improvement loops
- Implement explainability and traceability mechanisms aligned with regulatory standards
- Collaborate closely with ML Engineers and Backend teams on productionisation of AI components
- Drive decisions around embeddings, vector databases, and retrieval strategies
- Ensure reproducible, testable, and high-quality AI workflows
- Support scaling the platform into an enterprise-grade AI solution
- Lead technical discussions across product, engineering, and compliance stakeholders
Requirements
- Strong hands-on background in Data Science and applied Machine Learning
- Proven experience designing and deploying LLM-based systems in production
- Practical experience with Retrieval Augmented Generation architectures
- Experience with vector databases and embedding pipelines
- Strong Python expertise and familiarity with modern AI frameworks
- Experience designing model evaluation and validation frameworks
- Ability to operate in regulated or compliance-heavy environments
- Strong ownership mindset and ability to influence architectural decisions
- Confident communication skills in cross-functional environments
Nice to have
- Experience in pharmaceutical, healthcare, or other regulated industries
- Exposure to explainable AI methodologies or frameworks
- Experience with document intelligence and NLP-heavy pipelines
- Background in enterprise-scale AI platforms rather than proof-of-concept environments
Benefits
- Solid, competitive salary
- Work in a multinational environment on international projects
- Comprehensive healthcare
- Long-term B2B contract with a stable project pipeline
- Fully remote working model
Originally posted on Himalayas