Data Scientist
5 hours ago
**Job Summary**:
**Salary**
S$4,500 - S$8,000 / Monthly
**Job Type**
**Seniority**
Junior
**Years of Experience**
At least 1 year
**Tech Stacks**
Container Docker Weka R NumPy Java Kubernetes Robot Python
As an Amaris.AI Data Scientist, you will be tasked to deliver outcomes as part of our business overall vision and objectives in a technical or managerial role. You will work closely with our CTO office to deliver cutting-edge image processing solutions for internal and external users.
**Responsibilities**:
- Provide analysis on research, design, implementation and deployment of artificial intelligence solutions to address client and internal business issues.
- Develop, refine and implement state-of-the-art algorithms for product research and development or client solutions via ensemble or artificial intelligence model workflow.
- Build APIs to host models as a microservice / container
- Perform other duties as delegated by CTO Office.
- Write Technical Documentation
**Skills and Qualifications**:
- Bachelor's Degree or Masters in Data Science/Computer Science/Computer Engineering
- At least 1 year of experience in the Data Science Industry
- Previous execution and delivery of Image Processing related projects such as Object Detection, Colourisation, Pose Estimation, Image or Video Search and Action Recognition
- Strong understanding of traditional machine-learning techniques and data science toolkits (R, Numpy, Weka, Scikit-Learn, H20.AI, Data Robot)
- Strong understanding of deep-learning image processing techniques and generative algorithms
- Experience working with image-related annotation, databases, datasets, big data, data mining or exact-transfer-load of streaming data.
- Experience with Docker, Kubernetes, and AI Software Delivery
- Strong scripting and programming ability in Python or Java
- Self-driven, ability to work independently and cross-functionally in teams.
- Strong communication Skills
**Bonus / Preferred Qualifications**:
- PHD / Academic Publications / Patents.
- Participated in Kaggle Competitions / Hackathons / Data Science Competitions
- Understanding of Attention and Transformer Models
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