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Adv. Sp. AI Model DevOps

面議
  • 沈陽鐵西區(qū)
  • 5-10年
  • 本科
  • 全職
  • 招1人

雇員點評標簽

  • 工作環(huán)境好
  • 同事很nice
  • 免費班車
  • 團隊執(zhí)行強
  • 氛圍活躍
  • 人際關(guān)系好
  • 管理人性化
  • 交通便利

職位描述

Python自動化部署AI算法
Tasks Summary
Here, you'll spearhead AI model operational excellence within BBA IT division, joining a visionary team driving digital transformation. You'll architect and optimize the full AI model lifecycle— including selection, tuning, configuration, deployment, and optimization. Ensuring robust, scalable, and high-performance AI model operations to support business objectives and digital transformation
Key Responsibilities
Model Selection, Benchmarking and Optimization:
● Lead the selection, evaluation, and benchmarking of AI/ML models for platforms and business applications;
● Architect, configure and streamline AI model pipelines for reliability, scalability, and efficiency.
● Oversee model tuning, hyperparameter optimization, and continuous retraining processes
CI/CD: Implement CI/CD and automation (MLflow, Kubeflow) for seamless model deployment and monitoring.
Performance Troubleshooting: Troubleshoot and resolve performance bottlenecks in AI model serving and infrastructure
Cross-team Collaboration: Partner with data scientists engineers, and product teams to translate requirements into robust model solutions
Innovation: Stay ahead of AI/ML advancements to enhance operational frameworks.
Security and Compliance: Ensure security, compliance, and governance of AI models in products and platforms
Qualifications
Education: Bachelor’s/Master’s in Computer Science, AI, or related fields.
Technical Expertise:
● Expert knowledge and experience in model selection, tuning, and optimization for business systems
● Advanced experience with MLOps and DevOps tools (e.g., MLflow, Kubeflow, Airflow, Docker, Kubernetes, Jenkins)
● Proficiency in Python, TensorFlow/PyTorch, and MLOps tools (Docker/Kubernetes).
Cloud Experience: Hands-on experience with large-scale model deployment on AWS/Azure.
Process Skills: Deep knowledge and hands-on experience with MLOps pipelines, model versioning, and automated retraining
Soft Skills: Exceptional problem-solving, communication, and adaptability under pressure.
Language: Fluent English (German preferred).
Join Us, and You Will Enjoy:
【W(wǎng)orkplace】4A Scenic Office Environment | Ergonomic Office Furniture | Premium Dining Services | Barrier-Free Facilities
【Recharge】Fully-Paid Annual Leave (15+ Days) | Vibrant Union Activities & Lifestyle Benefits
【Career Growth】Extensive Training Resources | Diverse Career Development Paths | International Platform & Global Vision
【Commute & Living】Citywide Shuttle Coverage | Talent Apartments | Manager Car Allocation | Car Purchase Discounts
【Health】Family-Covered Medical Plans | 7×24 Free Clinic | Physiotherapy Services | Psychological Counseling | Gym
As the best employer brand model in the industry, BMW Brilliance has won multiple employer brand awards for many consecutive years. We are committed to the long-term cultivation of talents, build a forward-looking training system based on core values and corporate culture, empower employees to master the core ability to control industry changes, create excellent workplace experience, and achieve a sustainable future for each other and the enterprise.
任務(wù)概要
在這里,您將作為寶馬IT事業(yè)部的一員,引領(lǐng)AI模型的卓越運營。加入該前瞻性團隊,推動數(shù)字化轉(zhuǎn)型,負責從模型選型到生產(chǎn)部署的全生命周期優(yōu)化,確??蓴U展、高性能的解決方案符合寶馬全球創(chuàng)新標準。
核心職責
模型選型、基準測試與優(yōu)化:
● 主導(dǎo) AI/ML 模型在平臺及業(yè)務(wù)應(yīng)用場景中的選型、評估與基準測試;
● 設(shè)計、配置并優(yōu)化 AI 模型流水線,確保其具備高可靠性、可擴展性與高效性;
● 負責模型調(diào)優(yōu)、超參數(shù)優(yōu)化及持續(xù)重訓練流程的管理。
自動部署與監(jiān)控:運用MLflow/Kubeflow等工具實現(xiàn)自動化部署與監(jiān)控。
性能調(diào)優(yōu):排查并解決模型服務(wù)與云架構(gòu)(AWS/Azure)中的性能瓶頸。
跨團隊協(xié)作:與數(shù)據(jù)科學家、工程師及產(chǎn)品團隊合作,將業(yè)務(wù)需求轉(zhuǎn)化為穩(wěn)定可靠的模型解決方案。
技術(shù)前瞻:保持對 AI/ML 技術(shù)發(fā)展的前沿洞察,并推動其在運維框架中的應(yīng)用與落地。
安全與合規(guī):確保 AI 模型滿足安全性、合規(guī)性等要求。
任職要求
教育背景:計算機科學、人工智能等相關(guān)領(lǐng)域本科/碩士學歷。
技術(shù)能力:
● 在業(yè)務(wù)系統(tǒng)的模型選擇、調(diào)優(yōu)和優(yōu)化方面具備專家級知識和經(jīng)驗
● 具備高級 MLOps 和 DevOps 工具使用經(jīng)驗(如 MLflow、Kubeflow、Airflow、Docker、Kubernetes、Jenkins)
● 精通 Python、TensorFlow/PyTorch 以及 MLOps 工具(如 Docker/Kubernetes)
云平臺經(jīng)驗:具備AWS/Azure大規(guī)模模型部署實戰(zhàn)經(jīng)驗。
流程知識:深入理解并具備 MLOps 流水線、模型版本管理以及自動化再訓練的實戰(zhàn)經(jīng)驗。
軟性技能:出色的抗壓能力、溝通能力及問題解決思維。
語言要求:英語流利(德語優(yōu)先)。
加入我們,你將享有:
【辦公美學】4A級景區(qū)辦公環(huán)境 | 人體工學辦公桌椅 | 品質(zhì)餐飲保障 | 無障礙設(shè)施
【煥能充電】全薪年假15天起 | 豐富多彩的工會活動和生活場景福利(文娛/美食/教育等)
【成長躍遷】多渠道海量培訓資源 | 多樣的職業(yè)成長路徑 | 國際化平臺和視野
【住行無憂】全市覆蓋班車線路 | 人才公寓 | 經(jīng)理配車 | 購車優(yōu)惠
【健康守護】覆蓋家庭的醫(yī)療計劃 | 7×24h免費診所 | 康體理療 | 心理咨詢 | 健身房
華晨寶馬作為全行業(yè)最佳雇主品牌典范,連續(xù)多年蟬聯(lián)多項雇主品牌大獎。我們致力于深耕人才的長期培養(yǎng),以核心價值觀與企業(yè)文化為基石,構(gòu)建前瞻性培訓體系,賦能員工掌握駕馭行業(yè)變革的核心能力,打造卓越職場體驗,成就彼此與企業(yè)的可持續(xù)未來。
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工作地點

沈陽鐵西區(qū)華晨寶馬鐵西工廠

認證資質(zhì)

營業(yè)執(zhí)照信息

職位發(fā)布者

陳女士/Recruiter

立即溝通
公司Logo華晨寶馬
華晨寶馬汽車有限公司成立于2003年5月,是寶馬集團和華晨集團共同設(shè)立的合資企業(yè)。業(yè)務(wù)涵蓋寶馬品牌汽車在中國的研發(fā)、采購、生產(chǎn)、銷售和售后服務(wù)。華晨寶馬聚焦高質(zhì)量發(fā)展,致力于成為可持續(xù)高檔個人出行服務(wù)提供商,并引領(lǐng)中國汽車行業(yè)整個價值鏈的可持續(xù)發(fā)展。華晨寶馬在遼寧省沈陽市建有先進的生產(chǎn)基地,在北京和上海設(shè)有分公司,還有一家子公司-領(lǐng)悅數(shù)字信息技術(shù)有限公司,設(shè)有北京和南京辦公室。華晨寶馬現(xiàn)有員工約26000人,本土供應(yīng)商超過450家,連續(xù)18年成為沈陽最大納稅企業(yè)。同時,寶馬的銷售和服務(wù)網(wǎng)絡(luò)遍及全國,在中國擁有超過740家經(jīng)銷商店和服務(wù)網(wǎng)點,客戶滿意度在高檔汽車品牌中名列前茅。華晨寶馬沈陽生產(chǎn)基地是寶馬全球生產(chǎn)網(wǎng)絡(luò)中規(guī)模最大的生產(chǎn)基地。以寶馬集團BMW iFACTORY生產(chǎn)戰(zhàn)略愿景為指導(dǎo),華晨寶馬生產(chǎn)基地采用先進的制造流程和數(shù)字化創(chuàng)新,生產(chǎn)技術(shù)領(lǐng)先的產(chǎn)品。目前華晨寶馬在產(chǎn)車型包括:全新BMW 5系長軸距和創(chuàng)新純電動BMW i5、BMW 3系(含長軸距及標準軸距)、純電動BMW i3、全新BMW X1和創(chuàng)新BMW iX1、BMW X3,純電動BMW iX3,以及新BMW X5。作為負責任的企業(yè)公民,華晨寶馬致力于培養(yǎng)本土人才,創(chuàng)造高質(zhì)量就業(yè)機會,積極助力合作伙伴,并支持沈陽市、遼寧省和東北地區(qū)的經(jīng)濟繁榮。華晨寶馬將繼續(xù)在整個價值鏈中踐行負責任和可持續(xù)的做法,引領(lǐng)全行業(yè)向電動化、數(shù)字化、循環(huán)永續(xù)的未來轉(zhuǎn)型,為中國社會做出積極貢獻,為客戶提供寶馬品牌引以為傲的優(yōu)質(zhì)產(chǎn)品和服務(wù)。
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