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Machine Learning Engineer Job Opening In Singapore, Singapore – Now Hiring Adecco


Job description

Overview

We are seeking a highly skilled and experienced Machine Learning / AI Engineer to join our dynamic and multicultural environment.

The ideal candidate will have a strong foundation in data science, applied machine learning, and MLOps, with the ability to design, build, and deploy end-to-end ML solutions.

This role combines technical expertise with cross-functional collaboration to deliver scalable and responsible AI systems aligned with organizational standards and compliance requirements.

Job Responsibilities

  • Collaborate with data scientists and business stakeholders to define ML solutions and develop Proof of Concepts (POCs).

  • Design, build, and deploy production-grade machine learning models using MLOps best practices (versioning, CI/CD, monitoring, retraining).

  • Build and maintain scalable data pipelines to support model performance and system efficiency.

  • Ensure all models adhere to organizational AI governance, compliance, and ethical AI practices .

  • Support data exploration , feature engineering , and model optimization as needed.

  • Automate processes for model retraining, validation, and monitoring to maintain performance over time.

  • Document ML workflows, governance checkpoints, and model risk assessments.

  • Collaborate with DevOps, IT, and security teams to integrate ML systems into enterprise infrastructure.

  • Communicate technical solutions and results clearly to both technical and non-technical audiences.

  • Work independently while maintaining strong alignment with key project stakeholders.

Job Requirements

Mandatory:

  • Master's degree in Artificial Intelligence, Machine Learning, Data Science , or a related field.

  • Minimum 6+ years of experience in data science and machine learning, including at least 3+ years in ML engineering roles.

  • Proven experience in end-to-end ML lifecycle - from data preparation and model development to deployment and monitoring.

  • Strong programming skills in Python (pandas, scikit-learn, TensorFlow, PyTorch, etc.).

  • Hands-on experience with MLOps tools (MLflow, Airflow, TFX, Kubeflow, etc.).

  • Familiarity with cloud platforms (AWS, GCP, Azure) for ML deployment.

  • Strong understanding of NoSQL databases ; exposure to graph databases is advantageous.

  • Experience with CI/CD pipelines and containerization tools (Docker, Kubernetes).

  • Solid understanding of AI governance , model risk management , and compliance principles.

  • Excellent communication skills with the ability to explain technical concepts to diverse audiences.

Preferred

  • Experience implementing Responsible AI frameworks and performing bias/fairness assessments .

  • Familiarity with feature stores , model registries , and data versioning .

  • Understanding of data privacy , anonymization , and compliance best practices.

Professional Skills and Mindset

  • Strong analytical and problem-solving abilities.

  • Excellent organizational and interpersonal communication skills.

  • Eagerness to learn and adopt emerging technologies.

  • Familiarity with software development life cycle and Agile methodologies.

  • Collaborative mindset with respect for cultural diversity and global teamwork.

Next Step

If interested, you can click on Apply here or write an e-mail to ***********@adecco.com with your updated resume.

Note: Only shortlisted candidates will be contacted back.

Dimple Jain
Direct Line: 8110 4***
EA License No: 91C2918
Personnel Registration Number: R

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Required Skill Profession

Electrical & Energy Engineering


  • Job Details

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Unlock Your Machine Learning Potential: Insight & Career Growth Guide


Real-time Machine Learning Jobs Trends (Graphical Representation)

Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph here. Uncover the dynamic job market trends for Machine Learning in Singapore, Singapore, highlighting market share and opportunities for professionals in Machine Learning roles.

1450 Jobs in Singapore
1450
1295 Jobs in Singapore
1295
Download Machine Learning Jobs Trends in Singapore and Singapore

Are You Looking for Machine Learning Engineer Job?

Great news! is currently hiring and seeking a Machine Learning Engineer to join their team. Feel free to download the job details.

Wait no longer! Are you also interested in exploring similar jobs? Search now: .

The Work Culture

An organization's rules and standards set how people should be treated in the office and how different situations should be handled. The work culture at Adecco adheres to the cultural norms as outlined by Expertini.

The fundamental ethical values are:

1. Independence

2. Loyalty

3. Impartiapty

4. Integrity

5. Accountabipty

6. Respect for human rights

7. Obeying Singapore laws and regulations

What Is the Average Salary Range for Machine Learning Engineer Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Singapore. Salary levels may vary depending on your industry, experience, and skills. It's essential to research and negotiate effectively. We advise reading the full job specification before proceeding with the application to understand the salary package.

What Are the Key Qualifications for Machine Learning Engineer?

Key qualifications for Machine Learning Engineer typically include Electrical & Energy Engineering and a list of qualifications and expertise as mentioned in the job specification. The generic skills are mostly outlined by the . Be sure to check the specific job listing for detailed requirements and qualifications.

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Interview Tips for Machine Learning Engineer Job Success

Adecco interview tips for Machine Learning Engineer

Here are some tips to help you prepare for and ace your Machine Learning Engineer job interview:

Before the Interview:

Research: Learn about the Adecco's mission, values, products, and the specific job requirements and get further information about

Other Openings

Practice: Prepare answers to common interview questions and rehearse using the STAR method (Situation, Task, Action, Result) to showcase your skills and experiences.

Dress Professionally: Choose attire appropriate for the company culture.

Prepare Questions: Show your interest by having thoughtful questions for the interviewer.

Plan Your Commute: Allow ample time to arrive on time and avoid feeling rushed.

During the Interview:

Be Punctual: Arrive on time to demonstrate professionalism and respect.

Make a Great First Impression: Greet the interviewer with a handshake, smile, and eye contact.

Confidence and Enthusiasm: Project a positive attitude and show your genuine interest in the opportunity.

Answer Thoughtfully: Listen carefully, take a moment to formulate clear and concise responses. Highlight relevant skills and experiences using the STAR method.

Ask Prepared Questions: Demonstrate curiosity and engagement with the role and company.

Follow Up: Send a thank-you email to the interviewer within 24 hours.

Additional Tips:

Be Yourself: Let your personality shine through while maintaining professionalism.

Be Honest: Don't exaggerate your skills or experience.

Be Positive: Focus on your strengths and accomplishments.

Body Language: Maintain good posture, avoid fidgeting, and make eye contact.

Turn Off Phone: Avoid distractions during the interview.

Final Thought:

To prepare for your Machine Learning Engineer interview at Adecco, research the company, understand the job requirements, and practice common interview questions.

Highlight your leadership skills, achievements, and strategic thinking abilities. Be prepared to discuss your experience with HR, including your approach to meeting targets as a team player. Additionally, review the Adecco's products or services and be prepared to discuss how you can contribute to their success.

By following these tips, you can increase your chances of making a positive impression and landing the job!

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