Data Scientist
X-FAB
Date: 3 weeks ago
City: Kuching
Contract type: Full time
Kuching, Malaysia
Job Title: Data Scientist
We are looking for a Data Scientist / AI Engineer responsible for researching, developing, testing, deploying and troubleshooting artificial intelligence (AI) solutions.
Your Role
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Job Title: Data Scientist
We are looking for a Data Scientist / AI Engineer responsible for researching, developing, testing, deploying and troubleshooting artificial intelligence (AI) solutions.
Your Role
- Design, develop, test, and research machine learning (ML) / deep learning systems, architectures, and models.
- Maintain and enrich existing ML systems, frameworks, and libraries.
- Verify data quality and/or ensuring it via data cleaning.
- Carry out relevant applied research (data science, ML algorithm, automation, etc.) upon projects’ requirements.
- Monitor and evaluate the performance of deployed systems to ensure accuracy of results.
- Provide developer and user documentation for the deployed processes, data architectures, and ML systems.
- Facilitate User Acceptance Testing (UAT) and deploy the application in a production environment.
- Utilize GitHub, Jenkins, and Docker for version control and deployment process.
- Provide a reusable and high-quality Python modules and packages.
- Bachelor’s degree or higher in Computer Science, Software Engineering, Data Science, or other relevant areas.
- Preferably minimum 2 years of relevant working experience.
- Skills/Competencies:
- Behavioral Competencies:
- Passionate to learn new technologies, coding language and framework.
- Great problem-solving aptitude.
- Thrive on collaboration, working side by side with people of diverse backgrounds.
- Verbal and written communication skills.
- Able to work both in a team and independently.
- Has integrity and respect.
- Technical/Functional Competencies:
- Familiarity with Data Science application development cycle.
- Proficient in Python programming language and object oriented programming (OOP).
- Knowledge of data structures, data modeling, ETL, and model evaluation.
- Knowledge of mathematics, statistics, and algorithms.
- Knowledge of standard ML frameworks and libraries (e.g. Keras, Tensorflow, PyTorch, Sklearn).
- Experience with image recognition, time-series analysis and forecasting problems is preferred.
- Knowledge of Git and CI/CD pipelines, as well as standard DevOps and MLOps processes is preferred.
- Familiarity with Linux-based operating system is preferred.
- Familiarity with Python Dash is preferred.
- Basic Knowledge with NoSQL and/or SQL Database (MongoDB/PostgreSQL/MSSQL).
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- Only contact details and CV are required and voluntary attachment upload
- Takes only 3 minutes
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