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Urgent! Machine Learning Engineer Job Opening In Singapore, Singapore – Now Hiring Sanderson Ikas
Machine Learning / AI Engineer
position overview
We are seeking an experienced
Machine Learning / AI Engineer
to drive innovative digital initiatives across global projects.
In this role, you will
design, build, and deploy end-to-end machine learning solutions
that are scalable, reliable, and compliant with AI governance and regulatory standards.
Key Responsibilities
Collaborate with data scientists and business teams to define and implement ML solutions.
Develop and deploy production-grade models using MLOps best practices (CI/CD, versioning, monitoring).
Build and maintain data and model pipelines for scalability and performance.
Ensure compliance with responsible AI, governance, and audit requirements.
Automate retraining, testing, and monitoring of deployed models.
Partner with DevOps, IT, and security teams for seamless integration.
Qualifications
Master's degree in AI, ML, or Data Science.
6+ years in data science and ML, including 3+ in ML engineering.
Proficiency in Python (pandas, scikit-learn, TensorFlow, PyTorch).
Experience with MLOps tools (MLflow, Airflow, Kubeflow, etc.) and cloud platforms (AWS, Azure, GCP).
Knowledge of CI/CD, Docker, Kubernetes, and NoSQL databases.
Strong understanding of AI governance, model risk, and compliance.
Excellent communication and problem-solving skills.
Preferred:
Experience with Responsible AI, bias testing, feature stores, and data privacy in regulated sectors.
Personal data collected will be used for recruitment purposes only.
Only shortlisted candidates will be notified / contacted.
EA Registration No: R
Sanderson-iKas is the brand name for iKas International (Asia) Pte Ltd, a company incorporated in Singapore under Company UEN No.: E with EA license number 16S8086.
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Unlock Your Machine Learning Potential: Insight & Career Growth Guide
Real-time Machine Learning Jobs Trends in Singapore, Singapore (Graphical Representation)
Explore profound insights with Expertini's real-time, in-depth analysis, showcased through the graph below. This graph displays the job market trends for Machine Learning in Singapore, Singapore using a bar chart to represent the number of jobs available and a trend line to illustrate the trend over time. Specifically, the graph shows 1469 jobs in Singapore and 1309 jobs in Singapore. This comprehensive analysis highlights market share and opportunities for professionals in Machine Learning roles. These dynamic trends provide a better understanding of the job market landscape in these regions.
Great news! Sanderson Ikas 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: Machine Learning Engineer Jobs Singapore.
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 Sanderson Ikas adheres to the cultural norms as outlined by Expertini.
The fundamental ethical values are:The average salary range for a Machine Learning Engineer Jobs Singapore 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.
Key qualifications for Machine Learning Engineer typically include Other General and a list of qualifications and expertise as mentioned in the job specification. Be sure to check the specific job listing for detailed requirements and qualifications.
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Here are some tips to help you prepare for and ace your job interview:
Before the Interview:To prepare for your Machine Learning Engineer interview at Sanderson Ikas, 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 Sanderson Ikas'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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