助理工程師

Trane Technologies plc; Bengaluru; Hybrid; INR 1,800,000 - 3,000,000; Full time

Job summary

Trane Technologies 位于班加罗尔，诚邀具备5–7年数据科学及AI经验的数据科学家/高级数据科学家加入。该岗位聚焦生成式AI和AI应用开发，需熟练Python、SQL与云端部署，具备LLM驱动应用、提示工程及RAG等能力。与跨职能团队合作，推动行业设备领域的AI解决方案落地。

工作方式为混合制，周一至周四在办公室工作，周五可灵活选择办公地点。我们期待在风控、数据治理与负责任AI方面具有前瞻性思维的候选人，参与设计并交付面向生产的AI系统。

Qualifications

• 具备5–7年数据科学、高级分析、AI工程相关经验
• 具备生成式AI和大语言模型应用开发的实际经验
• 具备Python用于数据科学、API集成、自动化与AI应用开发的能力
• 具备云平台上生产环境部署AI解决方案的经验
• 熟悉向量数据库、语义检索、知识 grounding和RAG模式
• 具备软件工程实践，包括MLOps/LLMOps、CI/CD与版本控制

Responsibilities

• 分析大规模数据集，发现趋势、模式与洞察
• 设计、开发并部署AI/GenAI应用以解决业务需求
• 构建并优化预测、统计和时序模型
• 开发数据管道、ETL流程，支撑AI/ML应用
• 领导基于Python的自动化、数据变换、模型集成和API开发
• 开发LLM驱动的解决方案（协作助手、知识助手、摘要工具、检索/推荐系统）
• 应用GenAI技术（提示工程、RAG、编排、评估与落地）
• 将AI架构落地到云服务、向量数据库、企业系统的对接与生产化
• 参与模型评估、监控、性能改进、降低幻觉与成本
• 与产品、工程、分析、领域专家及业务方协作，定义路线图和实现计划
• 在必要时开发与增强仪表盘、报表和BI解决方案（Tableau）以支持决策
• 确保数据质量、治理、安全、合规及负责任的AI实践

Skills

Python

SQL

GenAI/LLM应用

数据管道

云端部署

Prompt工程

Tableau/BI

团队协作

Education

Bachelor’s degree in Computer Science, Data Science, Engineering, AI

Tools

LangChain

LlamaIndex

TensorFlow

PyTorch

Pandas

NumPy

Tableau

Git

Dataiku

Job description

助理工程師跳至主要內容我們使用 Cookie 以提升您的瀏覽體驗、分析網站流量並個人化內容。請參閱我們的 Cookie 設定頁面,了解我們如何使用 Cookie 以及您如何管理相關設定。# 探索職涯助理工程師 page is loaded## 助理工程師應徵remote type: 週一至週四,與同事在辦公室工作。週五則可自行選擇工作地點,靈活配合工作需求。locations: 班加羅爾,卡納塔克邦time type: 全職posted on: 今天刊登job requisition id: JR-4397成為我們使命的一份子!作為全球領先的企業,致力於為建築、住宅及交通運輸創造舒適、永續且高效的氣候解決方案,我們有責任將地球放在首位。對於 Trane Technologies 及旗下業務,包括 Trane 和 Thermo King,永續發展不僅是我們的經營方式,更是我們的核心事業。你是否敢於直面世界的挑戰,並看見具有影響力的可能性?你是否希望為創造更美好的未來貢獻一己之力?如果你的答案是肯定的,我們誠摯邀請你加入我們,一同勇敢挑戰永續世界的無限可能。了解我們為你量身打造的福利,助你在工作與生活中蓬勃發展。我們勇往直前。工作地點:週一至週四,與同事在辦公室工作。週五則可自行選擇工作地點,靈活配合工作需求。# **Job Summary:**We are seeking a Data Scientist / Senior Data Scientist with 5–7 years of experience in data science, machine learning, advanced analytics, and AI solution development, with a strong emphasis on Generative AI (GenAI) and AI application development. This role will focus on designing, developing, and deploying intelligent applications that combine traditional machine learning, modern GenAI capabilities, and scalable data engineering to solve real business problems.The ideal candidate will bring strong expertise in Python, SQL, AI/ML deployment, and cloud-based solution development, along with hands-on experience in building LLM-powered applications, prompt-driven workflows, and GenAI-enabled products. This person should also have a strong interest in understanding industrial equipment, operating principles, and failure patterns to build impactful domain-specific AI solutions. The role requires close collaboration with cross-functional teams to deliver production-ready AI applications, accelerate innovation, and drive business value through practical adoption of GenAI.**Job location**: Bangalore**Working**: Hybrid - From Monday to Thursday, work onsite with your colleagues. On Fridays, choose your work location, balancing what your work requires.## **Responsibilities:*** Analyze large, complex datasets to uncover trends, patterns, anomalies, and actionable business insights.* Design, develop, and deploy AI and GenAI applications that address business needs using machine learning, large language models, and intelligent workflow orchestration.* Build and optimize predictive, statistical, and time series models for business and operational use cases.* Develop robust data pipelines, ETL workflows, and feature engineering processes using SQL and Python to support AI/ML applications.* Lead Python-based application development for automation, data transformation, model integration, API development, and AI-powered workflows.* Develop LLM-powered solutions such as copilots, knowledge assistants, summarization tools, search-and-retrieval solutions, and domain-specific recommendation systems.* Apply Generative AI techniques including prompt engineering, retrieval-augmented generation (RAG), orchestration frameworks, grounding strategies, response evaluation, and workflow integration.* Prototype and productionize AI application architectures, including integrations with vector databases, model APIs, cloud services, and enterprise systems.* Contribute to the evaluation, monitoring, and continuous improvement of AI systems, including model quality, hallucination reduction, latency, cost, and user experience.* Collaborate with product managers, engineers, analysts, domain experts, and business stakeholders to define, prioritize, and deliver AI-driven solutions.* Translate business problems into scalable AI/ML and GenAI use cases, technical designs, and implementation roadmaps.* Develop and enhance dashboards, reports, and BI solutions using Tableau where needed to support model insights and business decisions.* Ensure strong data quality, governance, security, compliance, and responsible AI practices across solution development and deployment.## **Technical Skills/ Qualifications:*** Bachelor’s degree in Computer Science, Data Science, Engineering, AI, or a related field; master’s degree or advanced certification preferred.* 5–7 years of experience in data science, advanced analytics, AI engineering, or related roles.* Strong proficiency in Python for data science, API integration, automation, and AI application development.* Advanced proficiency in SQL, including complex querying, performance tuning, data transformation, and data modeling.* Strong knowledge of statistics, machine learning algorithms, applied mathematics, and time series analysis.* Hands-on experience with Generative AI and large language model applications, including prompt engineering, RAG patterns, model evaluation, and practical enterprise use case implementation.* Experience building AI applications using frameworks and libraries such as Scikit-learn, TensorFlow, PyTorch, Pandas, NumPy, and exposure to modern GenAI frameworks such as LangChain, LlamaIndex, or similar tools.* Experience integrating with foundation model APIs and deploying AI solutions in production environments.* Familiarity with vector databases, embeddings, semantic search, document retrieval, and knowledge-grounded AI applications.* Understanding of MLOps / LLMOps, CI/CD pipelines, model versioning, testing, and release management.* Exposure to cloud platforms such as AWS, Azure, or GCP, including AI/ML services and scalable deployment patterns.* Experience with Git and version control best practices.* Experience with Dataiku is an advantage.* Expertise in Tableau or similar BI tools for reporting and stakeholder communication is desirable.* Desirable domain awareness of industrial systems such as compressors, motors, power systems, refrigeration systems, and IC engines.* Strong understanding of responsible AI, data governance, security, and compliance considerations in AI solution development.## **Soft Skills:*** Strong analytical and problem-solving skills with a structured, methodical approach.* Excellent verbal and written communication skills with the ability to explain complex topics clearly.* Ability to work effectively with both technical and non-technical stakeholders.* Strong collaborative and team-oriented mindset with a proactive, customer-focused, and results-driven approach.* Ability to work independently with minimal supervision and manage multiple priorities.* High ownership, attention to detail, and commitment to timely, accurate delivery.* Adaptability to changing priorities, technologies, and business needs我們提供具競爭力的薪酬以及完善的福利和相關計劃。我們是一家提供平等就業機會的雇主;所有符合資格的申請者,無論其種族、膚色、宗教、性別、性取向、性別認同、國籍、懷孕狀況、年齡、婚姻狀況、身心障礙、受保護退伍軍人身份或任何依法受保護的身分,均會獲得公平的就業考量。