5年以上
本科
最近更新
2153人關(guān)注
職位描述
該職位信息待核驗，請仔細(xì)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(lián)系我時，請說是在江蘇人才網(wǎng)上看到的。
工作地點
地址：成都武侯區(qū)天府軟件園-D區(qū)
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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(xùn)費、身份證、畢業(yè)證等），均涉嫌違法，請求職者務(wù)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)
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天府軟件園(天華二路)附近
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