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Machine Learning Engineer (Diffusion / Vision) Job Opening In Singapore, Singapore – Now Hiring BJAK


Job description

Join to apply for the Machine Learning Engineer (Diffusion / Vision) role at BJAK .

Transform Visual Models into Real-World Applications

We’re building AI systems for a global audience.

We are living in an era of AI transition – this new project team will focus on building applications to enable real-world impact and high usage worldwide.

This role is a global position with a remote work arrangement.

You’ll work closely with regional teams across product, engineering, operations, infrastructure, and data to build and scale impactful AI solutions.

Why This Role Matters

You’ll fine-tune state-of-the-art models, design evaluation frameworks, and bring AI features into production.

Your work ensures our models are not only intelligent but also safe, trustworthy, and impactful at scale.

What You’ll Do

  • Fine-tune & adapt diffusion models (SDXL, Flux, Stable Diffusion variants) using LoRA, DreamBooth, and other parameter‑efficient methods.

  • Curate datasets – build, clean, and annotate large‑scale image datasets with captioning, tagging, and NSFW filtering for safe and aligned generation.

  • Evaluate & align – develop pipelines to measure fidelity, diversity, style adherence, and safety across generated outputs.

  • Optimize performance – apply GPU memory optimization, latent diffusion tricks, and distributed training for efficient scaling.

  • Deploy & monitor – ship diffusion‑powered features into production with monitoring for drift, latency, and quality.

  • Collaborate & deliver – work with product and design to integrate generative vision capabilities into user experiences.

What Is It Like

  • Ownership and independence.

  • Clarity comes from action – prototype, test, and iterate without waiting for perfect plans.

  • Calm and effective in startup chaos – shifting priorities and building from zero are normal.

  • Bias for speed – delivering valuable solutions now is preferred over a perfect version much later.

  • View feedback and failure as growth opportunities.

  • Possess humility, hunger, and hustle, and lift others up.

Requirements

  • Strong experience with diffusion models and generative vision (Stable Diffusion, SDXL, Flux, etc.).

  • Hands‑on skills with DreamBooth, LoRA/QLoRA, and fine‑tuning methods.

  • Proficiency with PyTorch (preferred).

  • Experience in dataset preparation (captioning, tagging, filtering, augmentation).

  • Knowledge of GPU optimization, latent diffusion, and efficient training techniques.

  • Strong foundations in software engineering, algorithms, and clean code practices.

Nice to Have

  • Prior work in style

Required Skill Profession

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.

1467 Jobs in Singapore
1467
1307 Jobs in Singapore
1307
Download Machine Learning Jobs Trends in Singapore and Singapore

Are You Looking for Machine Learning Engineer (Diffusion / Vision) Job?

Great news! is currently hiring and seeking a Machine Learning Engineer (Diffusion / Vision) 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 BJAK 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 (Diffusion / Vision) 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 (Diffusion / Vision)?

Key qualifications for Machine Learning Engineer (Diffusion / Vision) typically include 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 (Diffusion / Vision) Job Success

BJAK interview tips for Machine Learning Engineer (Diffusion / Vision)

Here are some tips to help you prepare for and ace your Machine Learning Engineer (Diffusion / Vision) job interview:

Before the Interview:

Research: Learn about the BJAK'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 (Diffusion / Vision) interview at BJAK, 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 BJAK'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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