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Intermediate Machine Learning Engineer Job Opening In Singapore, Singapore – Now Hiring KRIS INFOTECH PTE. LTD.


Job description

Job Description:

  • Collaborate with data scientists and business stakeholders to understand use cases and define ML solution; work on Proof of Concepts wherever needed
  • Engineer and deploy ML models into production using MLOps best practices (model versioning, monitoring, CI/CD, etc.).

  • Build & maintain data pipelines and model performance for scalability and maintainability.

  • Ensure all models adhere to organizational AI policies, responsible AI practices, and audit requirements.

  • Support data exploration, feature engineering, and occasional model building where needed.

  • Automate model retraining, testing, and monitoring to ensure performance over time.

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

  • Partner with DevOps, IT, and security teams to integrate solutions into enterprise platforms.

  • The position requires autonomy and reliability in performing duties while maintaining close communication with rest of stake-holders.

Requirements:

Mandatory:

  • Have Master's degree in the field of AI / ML and data science with proven ability to design and develop models
  • 6+ years of experience in data science and machine learning, with at least 3+ years in ML engineering roles.

  • Proven experience in end-to-end ML lifecycle: data wrangling, model development, deployment, and monitoring.

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

  • Strong knowledge in NoSQL databases (any experience in Graph database is desirable)
  • Experience with MLOps tools: MLflow, TFX, Airflow, Kubeflow, or similar.

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

  • Knowledge of data science techniques including supervised/unsupervised learning, NLP, time series, etc.

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

  • Strong understanding of AI governance, model risk management, and regulatory requirements in AI.

  • Ability to communicate technical concepts to non-technical stakeholders.

Preferred skills:

  • Experience with Responsible AI frameworks and bias/fairness testing.

  • Exposure to feature stores, model registries, and data versioning.

  • Knowledge of data privacy, anonymization, and compliance in regulated industries (e.g., banking, healthcare).

Other Professional Skills and Mind-set:

  • Ability and willingness to learn and adopt new technologies.

  • Strong organizational and communication skills.

  • Strong analytical and problem solving skills.

  • Awareness of various software development procedures.

  • Ability to follow defined procedures.

  • Understanding and respect of cultural diversity.

Required Skill Profession

Other General


  • Job Details

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Unlock Your Intermediate Machine Potential: Insight & Career Growth Guide


Real-time Intermediate Machine Jobs Trends (Graphical Representation)

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Are You Looking for Intermediate Machine Learning Engineer Job?

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

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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 KRIS INFOTECH PTE. LTD. 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 Intermediate 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 Intermediate Machine Learning Engineer?

Key qualifications for Intermediate Machine Learning Engineer typically include Other General 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 Intermediate Machine Learning Engineer Job Success

KRIS INFOTECH PTE. LTD. interview tips for Intermediate Machine Learning Engineer

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

Before the Interview:

Research: Learn about the KRIS INFOTECH PTE. LTD.'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.

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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 Intermediate Machine Learning Engineer interview at KRIS INFOTECH PTE. LTD., 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 KRIS INFOTECH PTE. LTD.'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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