AI Engineer (Part-Time)
CÔNG TY TNHH CLOUD ACE
384 Hoàng Diệu, Phường 6
Hết hạn
Xóa tin
Chi tiết tuyển dụng
Mức lương:
Thỏa thuận
Khu vực:
Hồ Chí Minh
Chức vụ:
Nhân viên
Hình thức làm việc:
Toàn thời gian
Lĩnh vực:
Khác
Mô tả công việc
We are seeking a highly skilled AI Engineer to join our team. The ideal candidate will possess a strong foundation in machine learning, data science, and a deep understanding of the financial industry. Key responsibilities include:
Develop ML pipelines on Google Cloud and apply ML results to automated marketing tools.
Analyze customer data and business requirements to propose suitable ML/AI solutions, aligning models and metrics with client expectations.
Collaborate with client business teams, marketing teams, and in-house data engineers to deliver a comprehensive solution
Develop ML pipelines on Google Cloud and apply ML results to automated marketing tools.
Analyze customer data and business requirements to propose suitable ML/AI solutions, aligning models and metrics with client expectations.
Collaborate with client business teams, marketing teams, and in-house data engineers to deliver a comprehensive solution
Quyền lợi được hưởng
Working time within 3-4 months (depending on the project).
Preference is to work in the office. If that’s not possible, hybrid work will be considered
Competitive salary
Free parking
Preference is to work in the office. If that’s not possible, hybrid work will be considered
Competitive salary
Free parking
Yêu cầu kỹ năng
ML Libraries (TensorFlow, OpenCV, scikit-learn, etc)
Computer Science Fundamentals and Programming (include data structures, algorithms, computability and complexity, computer architecture, etc.)
Understanding ML lifecycle concepts
Expert in Python and SQL programming.
Ability to work independently, under pressure, and meet project deadlines.
Priority:
Experience in solving banking problems such as new customer acquisition, reactivating churned customers, cross-selling products, and customer segmentation.
Business domain knowledge: FSI
Knowledge of Customer Data Platforms (CDPs), marketing automation tools, and experience with Google Analytics and Google Ads.
Experience working on Google Cloud Platform (GCP), familiar with BigQuery, Vertex AI.
Experience in MLOps.
Computer Science Fundamentals and Programming (include data structures, algorithms, computability and complexity, computer architecture, etc.)
Understanding ML lifecycle concepts
Expert in Python and SQL programming.
Ability to work independently, under pressure, and meet project deadlines.
Priority:
Experience in solving banking problems such as new customer acquisition, reactivating churned customers, cross-selling products, and customer segmentation.
Business domain knowledge: FSI
Knowledge of Customer Data Platforms (CDPs), marketing automation tools, and experience with Google Analytics and Google Ads.
Experience working on Google Cloud Platform (GCP), familiar with BigQuery, Vertex AI.
Experience in MLOps.