高级/主管数据科学家
Sr /lead Data Scientist
这是一个远程职位。
职位描述：高级/主管数据科学家
地点：班加罗尔/居家办公
经验：6-10年
用工类型：全职
职位简介
我们正在寻找一位具备人工智能（AI）、机器学习（ML）、深度学习和自然语言处理（NLP）专业知识的高级/主管数据科学家。理想的候选人还应具备生成式AI（GenAI）的实际经验，并能够设计、实施和优化针对现实业务问题的先进AI解决方案。
该职位需要兼具技术深度和战略思维，能够领导项目、与跨职能团队协作，并交付可扩展且有影响力的AI解决方案。
主要职责
- 为多样化的业务用例设计、开发和部署端到端的机器学习和AI模型。
- 应用先进的深度学习架构（CNN、RNN、Transformer等）解决视觉、文本以及结构化/非结构化数据中的复杂问题。
- 开发并优化NLP模型，用于文本分类、情感分析、信息提取、对话式AI和语义搜索。
- 探索并实现生成式AI（LLM、扩散模型、提示工程、微调、RAG流程等），以增强现有的AI/ML能力。
- 与产品、工程和业务利益相关者合作，将需求转化为AI驱动的解决方案。
- 推动模型性能优化（可扩展性、延迟、可解释性、准确性）。
- 指导和培养初级数据科学家，提供技术指导和最佳实践。
- 跟踪最新的AI/ML和生成式AI框架、工具和研究趋势。
所需技能与经验
- 具备6年以上数据科学、AI/ML及相关领域的经验。
- 精通Python、R或类似语言，熟悉数据科学库（NumPy、Pandas、Scikit-learn、PyTorch、TensorFlow、Hugging Face）。
- 有在生产环境中设计和部署ML/DL模型的实战经验。
- 精通NLP技术：嵌入、Transformer、BERT/GPT类模型、seq2seq、文本生成、实体识别。
- 具备生成式AI的实际经验（如OpenAI、Hugging Face、LangChain、向量数据库、RAG、LLM微调）。
- 熟悉云平台（AWS、Azure、GCP）用于AI/ML模型部署。
- 熟悉MLOps实践（模型版本控制、监控、CI/CD流程）。
查看英文原文
This is a remote position.
Job Description: Senior/lead Data Scientist
Location: Bangalore/WFH
Experience- 6-10 yrsEmployment Type: Full-time
About the Role
We are seeking a highly skilled Senior /lead Data Scientist with strong expertise in Artificial Intelligence (AI), Machine Learning (ML), Deep Learning, and Natural Language Processing (NLP). The ideal candidate will also have hands-on exposure to Generative AI (GenAI) and the ability to design, implement, and optimize advanced AI-driven solutions for real-world business problems.
This role requires both technical depth and strategic thinking, with an ability to lead projects, collaborate with cross-functional teams, and deliver scalable, impactful AI solutions.
Key Responsibilities
- Design, develop, and deploy end-to-end machine learning and AI models for diverse business use cases.
- Apply advanced deep learning architectures (CNNs, RNNs, Transformers, etc.) for solving complex problems in vision, text, and structured/unstructured data.
- Develop and fine-tune NLP models for text classification, sentiment analysis, information extraction, conversational AI, and semantic search.
- Explore and implement Generative AI (LLMs, diffusion models, prompt engineering, fine-tuning, RAG pipelines, etc.) to enhance existing AI/ML capabilities.
- Collaborate with product, engineering, and business stakeholders to translate requirements into AI-driven solutions.
- Drive model performance optimization (scalability, latency, explainability, accuracy).
- Lead and mentor junior data scientists, providing technical guidance and best practices.
- Stay up to date with emerging AI/ML and GenAI frameworks, tools, and research trends.
Required Skills & Experience
- Having 6+ years of experience in Data Science, AI/ML, and related fields.
- Strong proficiency in Python, R, or similar languages with expertise in data science libraries (NumPy, Pandas, Scikit-learn, PyTorch, TensorFlow, Hugging Face).
- Proven experience in designing and deploying ML/DL models in production.
- Deep knowledge of NLP techniques: embeddings, Transformers, BERT/GPT-style models, seq2seq, text generation, entity recognition.
- Hands-on exposure to Generative AI (e.g., OpenAI, Hugging Face, LangChain, vector databases, RAG, LLM fine-tuning).
- Strong knowledge of cloud platforms (AWS, Azure, GCP) for ML/AI model deployment.
- Solid understanding of MLOps practices (model versioning, monitoring, CI/CD pipelines).
- Strong analytical, problem-solving, and communication skills.
- Ability to work in a fast-paced, collaborative environment.
Preferred Qualifications
- Master’s/PhD in Computer Science, Data Science, AI/ML, Statistics, or a related field.
- Experience in GenAI enterprise use cases (chatbots, content generation, code generation, knowledge retrieval).
- Knowledge of big data tools (Spark, Databricks, Hadoop) is a plus.
- Experience mentoring or leading a small data science team.
Originally posted on Himalayas