Artificial Intelligence and Machine Learning
3 days ago
The rising need for smarter and more complicated functionality across a wide range of verticals will essentially boost the demand for artificial intelligence (AI)-enabled devices and systems. This list includes industrial automation, machine learning, health care, smart manufacturing, mobile devices, the Internet of Things, smart clouds, high performance computing, autonomous vehicles, and information security.
The adoption of AI can only be stronger in the future and this structural shift should ignite a multi-decade development cycle. As such, the world should brace for an unprecedented rise in AI processors and AI-embedded devices from now on. At the current rate of advancement, AI will emerge in countless tools and increasingly play irreplaceable roles in administering our daily lives.
Job Highlights
- Team Lead data scientist
- Machine Learning
- Data Model, Data Mining
**Job Description**:
**Duties and Responsibilities**
- Develop an end-to-end machine learning system for use in strategic planning for banking services and business expansion.
- Continuously develop and improve Scalability / Speed / Performance of Machine Learning systems.
- Initiate innovative projects, Data Analytics & Machine Learning systems, and seek innovative Analytics tools to meet changing business needs.
- Manage the responsible Data Scientist team.
**feature**
- Graduated with a master's degree or higher in the field computer engineering or related fields
- 5+ years of experience working in Machine Learning/Data Science
- Expertise in Machine Learning, Data Model, Database Design and Data Mining.
- Knowledge of using R, Python, and related machine learning programs.
- Experience using Cloud platforms such as AWS, Azure, Google Cloud, etc.
- Experience in managing a Data Scientist team
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