Machine Learning jobs in Singapore
Machine Learning Scientist / Senior Scientist
Newbridge
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Irtish Consulting
Senior / Principal Engineer
ST Engineering
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Singapore ETH-Centre
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BRIGHT POINT CAPITAL PTE. LTD. -
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IntellicaCX
Information Technology - Senior Data Scientist (Advanced AI Track)
Singapore Airlines
Manager, Artificial Intelligence Office
National University Polyclinics
Senior ML Scientist - Build Impactful Models Remotely
Newbridge
Executive / Senior Executive, Data & AI (AI Developer) - 1-year Contract
CapitaLand
AI Engineer (Permanent role)
TALENTSIS PTE. LTD.
AI Engineer (Legal Domain LLM), Traineeship, [GRIT@Gov]
Careers@Gov
Postdoc Researcher: AI for Gait Analytics & Fall Risk
Singapore ETH-Centre
Machine Learning Scientist / Senior Scientist
Job summary
A tech-driven company in Singapore is seeking a talented Machine Learning Scientist to develop and deploy models that enhance user experience and drive business growth. You will work closely with cross-functional teams on innovative projects leveraging your expertise in machine learning and programming. The ideal candidate holds a Master's or Ph.D. in a relevant field, possesses strong programming skills, and is adept in using machine learning frameworks. This role offers a competitive salary, career growth opportunities, and a collaborative work environment.
Benefits
Qualifications
- Experience in machine learning or related field.
- Strong understanding of machine learning concepts, including supervised and unsupervised learning.
- Excellent communication and collaboration skills.
Responsibilities
- Develop and deploy machine learning models to solve complex problems.
- Collaborate with data engineers to design and implement data pipelines.
- Conduct data analysis and experimentation to inform product decisions.
Skills
Education
Tools
We're seeking a talented Machine Learning Scientist to join our clients team. As a Machine Learning Scientist, you will develop and deploy machine learning models to drive business growth, improve user experience, and enhance their products. You will work closely with cross-functional teams to identify opportunities, design experiments, and implement solutions.
- Develop and deploy machine learning models to solve complex problems in areas such as content understanding, user behavior, and recommendation systems
- Collaborate with data engineers to design and implement data pipelines and architectures
- Work with product managers to identify opportunities and design experiments to drive business growth
- Conduct data analysis and experimentation to inform product decisions
- Stay up-to-date with industry trends and advancements in machine learning and deep learning
- Master's or Ph.D. degree in Computer Science, Electrical Engineering, Statistics, or related field
- Experience in machine learning or related field
- Strong programming skills in languages such as Python, Java, or C++
- Experience with machine learning frameworks such as TensorFlow, PyTorch, or scikit-learn
- Strong understanding of machine learning concepts, including supervised and unsupervised learning, deep learning, and reinforcement learning
- Experience with data analysis and visualization tools such as Matplotlib, Seaborn, or Tableau
- Excellent communication and collaboration skills
- Experience with large-scale distributed computing platforms such as Hadoop, Spark, or Kubernetes
- Familiarity with containerization technologies such as Docker
- Experience with agile development methodologies
- Knowledge of cloud computing platforms such as AWS, GCP, or Azure
- Competitive salary and benefits package
- Opportunities for career growth and professional development
- Collaborative and dynamic work environment
- Flexible working hours and remote work options
- Access to cutting-edge technologies and tools
- Recognition and rewards for outstanding performance
If you're passionate about machine learning and want to join a dynamic team, please submit your resume and a cover letter explaining why you're the perfect fit for this role
* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.