5年以上
本科
2026-02-03 08:17:09
1080人關注
職位描述
該職位還未進行加V認證，請仔細了解后再進行投遞！
Key responsibilities:
- Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions that deliver measurable business value.
- Effectively manage and execute end-to-end AI/ML projects — from data exploration. and model development to validation, deployment, and monitoring in production.
- Drive Solution architecture using advanced techniques in machine learning, NLP, Generative AI, and statistical modeling.
- Champion the scalability, reproducibility, and sustainability of AI solutions by establishing best practices in model development, CI/CD, and performance tracking.
- Guide junior and associate AI/ML Engineers through technical mentoring, code reviews, and solution reviews.
- Identify and evangelize the adoption of emerging tools, technologies, and methodologies across teams.
- Translate technical outputs into actionable insights for business stakeholders through storytelling, data visualizations, and stakeholder engagement.
We are looking for:
- Having minimum 1-2 years of experience in managing a Team of 5-6 AIML Engineers with effective communication and good story telling abilities.
- A seasoned AI/ML Engineering expert with 7 years of hands-on experience delivering enterprise-grade AI/ML solutions.
- Advanced proficiency in Python, SQL, PySpark, and experience working with cloud platforms (Azure preferred) and tools such as Databricks, Synapse, ADF, and Web Apps.
- Strong expertise in text analytics, NLP, and Generative AI, with real-world deployment exposure.
- Solid understanding of model evaluation, optimization, bias mitigation, and monitoring in production.
- A problem solver with scientific rigor, strong business acumen, and the ability to bridge the gap between data and decisions.
- Prior experience in leading cross-functional AI initiatives or collaborating with engineering teams to deploy ML pipelines.
- Bachelor’s or master’s degree in computer science, Engineering, Statistics, or a related quantitative field. A PhD is a plus.
- Prior understanding in business domain of shipping and logistics is an advantage.
- Partner with business, product, and engineering teams to define problem statements, evaluate feasibility, and design AI/ML-driven solutions that deliver measurable business value.
- Effectively manage and execute end-to-end AI/ML projects — from data exploration. and model development to validation, deployment, and monitoring in production.
- Drive Solution architecture using advanced techniques in machine learning, NLP, Generative AI, and statistical modeling.
- Champion the scalability, reproducibility, and sustainability of AI solutions by establishing best practices in model development, CI/CD, and performance tracking.
- Guide junior and associate AI/ML Engineers through technical mentoring, code reviews, and solution reviews.
- Identify and evangelize the adoption of emerging tools, technologies, and methodologies across teams.
- Translate technical outputs into actionable insights for business stakeholders through storytelling, data visualizations, and stakeholder engagement.
We are looking for:
- Having minimum 1-2 years of experience in managing a Team of 5-6 AIML Engineers with effective communication and good story telling abilities.
- A seasoned AI/ML Engineering expert with 7 years of hands-on experience delivering enterprise-grade AI/ML solutions.
- Advanced proficiency in Python, SQL, PySpark, and experience working with cloud platforms (Azure preferred) and tools such as Databricks, Synapse, ADF, and Web Apps.
- Strong expertise in text analytics, NLP, and Generative AI, with real-world deployment exposure.
- Solid understanding of model evaluation, optimization, bias mitigation, and monitoring in production.
- A problem solver with scientific rigor, strong business acumen, and the ability to bridge the gap between data and decisions.
- Prior experience in leading cross-functional AI initiatives or collaborating with engineering teams to deploy ML pipelines.
- Bachelor’s or master’s degree in computer science, Engineering, Statistics, or a related quantitative field. A PhD is a plus.
- Prior understanding in business domain of shipping and logistics is an advantage.
注：聯系我時，請說是在四川人才網上看到的。
工作地點
地址：成都武侯區(qū)天府軟件園-D區(qū)
??
點擊查看地圖
詳細位置，可以參考上方地址信息
求職提示：用人單位發(fā)布虛假招聘信息，或以任何名義向求職者收取財物（如體檢費、置裝費、押金、服裝費、培訓費、身份證、畢業(yè)證等），均涉嫌違法，請求職者務必提高警惕。
職位發(fā)布者
Ava ..HR
馬士基信息處理(成都)有限公司
-
交通·運輸·物流
-
200-499人
-
私營·民營企業(yè)
-
天府軟件園(天華二路)附近
相似職位
-
服務專員 (MJ019253) 5000-7000元應屆畢業(yè)生 大專寧德時代新能源科技股份有限公司
-
經營分析高級經理 25000-30000元應屆畢業(yè)生 本科貝殼找房(北京)科技有限公司
-
人保壽險-四川-增員企劃推動崗-社招（涼山人發(fā)部） 面議應屆畢業(yè)生 不限中國人民人壽保險股份有限公司四川省分公司
-
質檢專員 6000-8000元應屆畢業(yè)生 大專北京快手科技有限公司
-
服務專員（實習） 120元以上應屆畢業(yè)生 大專寧德時代新能源科技股份有限公司
-
美團騎手寒假工配車住吃保底工資6千可預支 6000-10000元應屆畢業(yè)生 不限成都泰便利電子商務有限公司
