Machine Learning Engineer - Singapore - KULICKE & SOFFA PTE. LTD.
Description
**Key Responsibilities- Design and develop Machine Learning / Deep Learning Models
- Research and implement appropriate ML algorithms and tools
- Explore data, conduct analysis to extract useful insights for business
- Select appropriate datasets, data representation methods. Run machine learning tests and experiments to test different solutions and measure model performance
- Perform statistical analysis and finetuning of models using test results. Train and retrain systems when necessary
- Study and transform data science prototypes
- Design and implement robust data pipelines
- Explore and propose model deployment schemes considering security and ease of consumption
- Create/Maintain CI/CD pipelines of Machine Learning solutions in the cloud
- Proven experience as a ML Engineer or similar role in building and executing endtoend ML systems automating training, testing and deploying ML models
- Expertise in ML frameworks and libraries not limited to Pandas, Scikitlearn, NumPy, Matplotlib, Seaborn
- Experience with Azure or other cloudbased big data and machine learning services is a plus
- Solid software engineering and coding skills.
- Proficiency in SQL, Python
- Strong analytical and problemsolving skills
- Selfmotivated, Independent, willingness to learn & keep abreast of latest developments in the field
- A Recognized Degree in Computer Science / Information Technology or its equivalent
- Ability to multitask in a dynamic work environment
- Positive attitude, enthusiastic, sensitive to team dynamics & cultures
- Strong written and verbal communication as well as interpersonal skills
- A Good team player
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