Vị trí công việc này hiện tại đã hết hạn nộp hồ sơ, bạn có thể tham khảo thêm một số công việc tương tự tại đây:
Mô tả công việc
Mô tả Công việc
Software Development - Design, develop, implement, and test application software; contribute through coding, algorithm design, debugging, and system integration.
Data Collection & Management - Acquire, clean, and organize structured and unstructured data from diverse sources (databases, APIs, logs, external datasets).
Data Analysis & Visualization - Conduct statistical analyses, generate reports, and create interactive dashboards (Power BI, Tableau, Excel) to support strategic decision-making.
Database Design & Optimization - Define requirements, design efficient database schemas, and optimize queries for scalability and performance.
Machine Learning & AI Development - Build, train, and evaluate predictive and prescriptive models using Python (TensorFlow, PyTorch).
Deployment & Automation - Deploy and integrate AI/ML models into production environments (APIs, pipelines, MLOps).
Cloud & Big Data Solutions - Leverage cloud platforms (AWS, Azure, GCP) and big data frameworks (Spark, Hadoop) for advanced analytics.
Business Problem-Solving - Collaborate with stakeholders to translate business requirements into analytical models and AI-driven solutions.
Innovation & Research - Stay abreast of emerging trends in AI, data science, cloud, and automation, applying them to optimize business processes.
Documentation & Reporting - Prepare technical documentation, research reports, and user manuals for developed systems and solutions.
Collaboration & Mentorship - Work cross-functionally with IT, business, and operations teams; mentor junior staff in data analytics and AI development.
Technical Support - Serve as a technical advisor to other departments, providing training and knowledge transfer when needed.
Additional Duties - Perform other responsibilities as assigned by management.
Yêu cầu
Yêu Cầu Công Việc
Minimum Criteria
Education: Bachelor's degree in IT, Computer Science, AI, or related fields (top universities preferred).
Programming: Python (TensorFlow, PyTorch), C#, ASP.Net; basic R/Java/Scala.
Data: SQL, basic NoSQL; ETL & large dataset handling.
Analytics: Excel (advanced), Power BI, Tableau; solid statistical knowledge.
AI/ML: Machine Learning, Deep Learning, Cloud & Big Data (AWS, Azure, GCP, Spark, Hadoop).
Database: Design & optimization.
Math: Linear Algebra, Calculus, Probability, Optimization.
Others: Problem-solving, adaptability, English proficiency, teamwork & communication skills.
Age: 23-40.
Desirable Criteria
1+ years in data/AI/ML roles.
Experience with MLOps, APIs, NLP, Computer Vision, or Generative AI.
Hands-on with cloud AI services.
Domain exposure (Manufacturing, Supply Chain, Finance).
Relevant certifications (Power BI, Google Data Analytics, AWS/Azure/Google ML).
Participation in Kaggle, research, or open-source AI projects.
Quyền lợi
Du Lịch
Phụ cấp
Xe đưa đón
Chế độ thưởng
Chăm sóc sức khỏe
Đào tạo
Tăng lương
Nghỉ phép năm
Thông tin chung
- Ngày hết hạn: 29/09/2025
- Thu nhập: Cạnh tranh