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1,187

Machine Learning jobs in Portugal

Associate, MLOps Engineer, Future Ready Technology, Group Technology

300005 Chief Executive's Office_00002555

Singapore
On-site
SGD 80,000 - 100,000
2 days ago
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M09 - Full Stack Engineer

FPT Asia Pacific Pte Ltd

Singapore
On-site
SGD 70,000 - 90,000
Yesterday
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AI Engineer

NTUC ENTERPRISE NEXUS CO-OPERATIVE LIMITED

Singapore
On-site
SGD 70,000 - 90,000
Yesterday
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Analyst - Data Science

American Express

Singapore
Hybrid
SGD 80,000 - 100,000
2 days ago
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SVP, Senior Data Translator, Consumer Banking Group Regional Data Chapter

300005 Chief Executive's Office_00002555

Singapore
On-site
SGD 120,000 - 160,000
2 days ago
Be an early applicant
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Research Associate, ARL

NATIONAL UNIVERSITY OF SINGAPORE

Singapore
On-site
SGD 60,000 - 80,000
Yesterday
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Senior Research Engineer (Smart Virtual Systems)(3 year contract)

MCI Career Services

Singapore
On-site
SGD 80,000 - 120,000
2 days ago
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Research Assistant (Healthcare Artificial Intelligence and Data Analytics)

NATIONAL UNIVERSITY OF SINGAPORE

Singapore
On-site
SGD 40,000 - 55,000
Yesterday
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AI Engineer

SIMPLIFYNEXT PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
Yesterday
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Senior Computer Vision Engineer

HYUNDAI MOTOR GROUP INNOVATION CENTER IN SINGAPORE PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
Yesterday
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Research Scientist (CoS Division) , IHPC

A*STAR RESEARCH ENTITIES

Singapore
On-site
SGD 70,000 - 100,000
Yesterday
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Test - Data scientist (job classification)

300005 Chief Executive's Office_00002555

Singapore
On-site
SGD 100,000 - 125,000
2 days ago
Be an early applicant

Associate MLOps Engineer: GenAI & LLM Innovation

300005 Chief Executive's Office_00002555

Singapore
On-site
SGD 80,000 - 100,000
2 days ago
Be an early applicant

VP/AVP, Data Translator, Consumer Banking Group Regional Data Chapter

300005 Chief Executive's Office_00002555

Singapore
On-site
SGD 120,000 - 160,000
2 days ago
Be an early applicant

Full Stack Engineer

CLASSDO PTE. LTD.

Singapore
On-site
SGD 70,000 - 90,000
Yesterday
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Senior Data Scientist

Grab

Singapore
On-site
SGD 70,000 - 100,000
2 days ago
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(Senior) Development Engineer, Sustainable System and Devices, ARTC

A*STAR RESEARCH ENTITIES

Singapore
On-site
SGD 70,000 - 100,000
Yesterday
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Computational Scientist - AI & Data Integration (Metabolic Disease), BII

A*STAR RESEARCH ENTITIES

Singapore
On-site
SGD 60,000 - 80,000
Yesterday
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Algorithm Development for Biomedical Applications

NITTO DENKO ASIA TECHNICAL CENTRE PTE. LTD.

Singapore
On-site
SGD 80,000 - 100,000
Yesterday
Be an early applicant

Staff Research Scientist, ML Efficiency, Google Research - Singapore

GOOGLE ASIA PACIFIC PTE. LTD.

Singapore
On-site
SGD 100,000 - 130,000
Yesterday
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Systematic PM- Quantitative Researcher Associate - Singapore

Balyasny Asset Management LP

Singapore
On-site
SGD 60,000 - 80,000
Yesterday
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AI Engineer

SimplifyNext

Singapore
On-site
SGD 55,000 - 75,000
2 days ago
Be an early applicant

Research Fellow / Engineer (Coastal and Hydrodynamic Modelling) - EA6

SINGAPORE INSTITUTE OF TECHNOLOGY (SIT)

Singapore
On-site
SGD 60,000 - 75,000
2 days ago
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GenAI Data Scientist - 12-Month Contract

Münchener Rückversicherungs-Gesellschaft

Singapore
On-site
SGD 70,000 - 90,000
2 days ago
Be an early applicant

Research Officer in AI/ML for Spatial Omics (Complex Cellular Phenotype Analysis Group), A*STAR BII

A*STAR RESEARCH ENTITIES

Singapore
On-site
SGD 50,000 - 70,000
Yesterday
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Associate, MLOps Engineer, Future Ready Technology, Group Technology
300005 Chief Executive's Office_00002555
Singapore
On-site
SGD 80,000 - 100,000
Full time
2 days ago
Be an early applicant

Job summary

A forward-thinking technology firm in Singapore is seeking a Machine Learning Engineer to develop and deploy innovative machine learning solutions. The role emphasizes collaboration across teams in Singapore, China, and India while focusing on advancements in Generative AI and Large Language Models. Successful candidates will have extensive experience in machine learning frameworks and strong programming skills in Python. This is an exciting opportunity to make an impact in the banking sector through cutting-edge technologies.

Qualifications

  • 5+ years of experience in machine learning or a related field.
  • Proficient in modern machine learning frameworks and libraries.
  • Excellent programming skills in Python.

Responsibilities

  • Develop and implement machine learning models for banking.
  • Collaborate with teams across multiple countries.
  • Stay updated on advancements in Generative AI.

Skills

Machine Learning Frameworks
Python Programming
Data Engineering
Cloud Infrastructure
Statistical Analysis
Communication Skills

Tools

TensorFlow
PyTorch
scikit-learn
Job description
Job Description - Associate, MLOps Engineer, Future Ready Technology, Group Technology (WD72639)

Job Summary: As a Machine Learning Engineer at DBS Future Ready Tech, you will play a crucial role in driving the development and deployment of advanced machine learning solutions to address a wide range of business challenges. With a strong focus on cutting-edge technologies like Generative AI (GenAI) and Large Language Models (LLMs), you will collaborate closely with teams across Singapore, China, and India to deliver innovative and impactful ML-powered applications.

Responsibilities
  • Develop and implement state-of-the-art machine learning models and algorithms to solve complex business problems across various verticals within the banking industry.
  • Leverage the latest advancements in Generative AI and Large Language Models to create robust and adaptable solutions that address a diverse range of use cases.
  • Work closely with cross-functional teams, including data scientists, software engineers, and business stakeholders, to understand requirements, design efficient solutions, and ensure seamless integration.
  • Continuously evaluate and benchmark the latest GenAI and LLM trends, technologies, and best practices, and apply these insights to enhance the bank's ML capabilities.
  • Collaborate with international teams in Singapore, China, and India to share knowledge, align on strategies, and ensure consistent delivery of high-quality ML solutions.
  • Demonstrate strong communication skills, the ability to explain complex technical concepts to non-technical stakeholders, and a proven track record of delivering on tight timelines.
  • Stay abreast of industry trends, participate in relevant conferences and events, and contribute to the broader machine learning community through publications, open-source contributions, or thought leadership.
Requirements
  • 5+ years of experience in machine learning, data science, or a related field, with a strong background in developing and deploying production-ready ML models.
  • Proficient in modern machine learning frameworks and libraries, such as TensorFlow, PyTorch, or scikit-learn, and familiar with the latest advancements in Generative AI and Large Language Models.
  • Excellent programming skills in Python, as well as experience with data engineering and cloud-based infrastructure.
  • Strong mathematical and statistical background, with a solid understanding of machine learning algorithms, optimization techniques, and model evaluation.
  • Ability to work collaboratively in a fast-paced, multicultural environment, with excellent communication and presentation skills.
  • Experience in working with cross-functional teams and stakeholders across different time zones and cultural backgrounds.
  • Willingness to stay up-to-date with the latest trends and advancements in the field of machine learning, and a passion for continuous learning and innovation.

If you're an ambitious and skilled Machine Learning Engineer with a passion for driving the future of banking through the power of Generative AI and Large Language Models, we encourage you to apply for this exciting opportunity.

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* 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.

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