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GPU ML Modeling / MLOps Engineer Job Opening In Warsaw – Now Hiring Advanced Micro Devices, Inc


Job description

WHAT YOU DO AT AMD CHANGES EVERYTHING At AMD, our mission is to build great products that accelerate next-generation computing experiences—from AI and data centers, to PCs, gaming and embedded systems.

Grounded in a culture of innovation and collaboration, we believe real progress comes from bold ideas, human ingenuity and a shared passion to create something extraordinary.

When you join AMD, you’ll discover the real differentiator is our culture.

We push the limits of innovation to solve the world’s most important challenges—striving for execution excellence, while being direct, humble, collaborative, and inclusive of diverse perspectives.

Join us as we shape the future of AI and beyond.

Together, we advance your career.

GPU ML Modeling / MLOps Engineer THE ROLE: AMD is looking for a strategic ML Engineer who is passionate about Machine Learning, Visual Computing, and Gaming.

KEY SKILLS: Computer Vision; Image Processing (ML), Graphic Data Analytics THE PERSON: The ideal candidate is a highly skilled software or machine learning engineer, with expertise in training models, especially for computer vision or graphics tasks.

You are interested in Machine Learning, and you are excited to have a real impact on the future of gaming by unlocking the next generation of software technologies for graphics.

You are team-driven and motivated to do things that others might find too difficult.

KEY RESPONSIBILITIES: Train and maintain ML models for CV / CG.

Improve ML workflows using tools such as data versioning, MLOps platforms, or automation pipelines.

Curate datasets to train and evaluate models.

Analyze model behavior to make sure we deliver the best visual quality for gamers.

Collaborate with cross-functional teams incl.

researchers, engineers, and domain experts to understand requirements, develop prototypes, and deploy production-ready ML solutions.

Document code, methodologies, and findings comprehensively, ensuring reproducibility and knowledge sharing within the team and across the organization.

Mentor junior team members, providing guidance on machine learning concepts, programming techniques, and software development practices to foster skill development and team growth.

PREFERRED EXPERIENCE: Minimum of 2 years in a full-time (post grad) Data Scientist / Analyst position.

Proficiency in Python for rapid prototyping and testing, incl.

understanding of general software development principles, version control systems, and CI pipelines.

Experience with ML libraries such as PyTorch, ONNX, and similar.

Familiarity with GPU Compute APIs such as Direct3D/HLSL, CUDA, or ROCm/HIP.

Ability to write high-quality, maintainable code with meticulous attention to detail, ensuring robustness and optimal performance.

Proficiency in English, with excellent written and verbal communication skills, to collaborate effectively.

Ability to articulate complex technical concepts to both technical and non-technical stakeholders.

The following points are optional but highly desired: Passion for computer games and game graphics.

Familiarity with algorithms behind 3D graphics incl.

ray tracing techniques.

GCN / RDNA graphics or game console architecture experience.

Game engine or game rendering framework experience.

ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.

#LI-CC5 #LI-Remote Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.

We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.GPU ML Modeling / MLOps Engineer THE ROLE: AMD is looking for a strategic ML Engineer who is passionate about Machine Learning, Visual Computing, and Gaming.

KEY SKILLS: Computer Vision; Image Processing (ML), Graphic Data Analytics THE PERSON: The ideal candidate is a highly skilled software or machine learning engineer, with expertise in training models, especially for computer vision or graphics tasks.

You are interested in Machine Learning, and you are excited to have a real impact on the future of gaming by unlocking the next generation of software technologies for graphics.

You are team-driven and motivated to do things that others might find too difficult.

KEY RESPONSIBILITIES: Train and maintain ML models for CV / CG.

Improve ML workflows using tools such as data versioning, MLOps platforms, or automation pipelines.

Curate datasets to train and evaluate models.

Analyze model behavior to make sure we deliver the best visual quality for gamers.

Collaborate with cross-functional teams incl.

researchers, engineers, and domain experts to understand requirements, develop prototypes, and deploy production-ready ML solutions.

Document code, methodologies, and findings comprehensively, ensuring reproducibility and knowledge sharing within the team and across the organization.

Mentor junior team members, providing guidance on machine learning concepts, programming techniques, and software development practices to foster skill development and team growth.

PREFERRED EXPERIENCE: Minimum of 2 years in a full-time (post grad) Data Scientist / Analyst position.

Proficiency in Python for rapid prototyping and testing, incl.

understanding of general software development principles, version control systems, and CI pipelines.

Experience with ML libraries such as PyTorch, ONNX, and similar.

Familiarity with GPU Compute APIs such as Direct3D/HLSL, CUDA, or ROCm/HIP.

Ability to write high-quality, maintainable code with meticulous attention to detail, ensuring robustness and optimal performance.

Proficiency in English, with excellent written and verbal communication skills, to collaborate effectively.

Ability to articulate complex technical concepts to both technical and non-technical stakeholders.

The following points are optional but highly desired: Passion for computer games and game graphics.

Familiarity with algorithms behind 3D graphics incl.

ray tracing techniques.

GCN / RDNA graphics or game console architecture experience.

Game engine or game rendering framework experience.

ACADEMIC CREDENTIALS: Bachelor’s or Master's degree in Computer Science, Computer Engineering, Electrical Engineering, or equivalent.

#LI-CC5 #LI-Remote
Benefits offered are described: AMD benefits at a glance.

AMD does not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.

AMD and its subsidiaries are equal opportunity, inclusive employers and will consider all applicants without regard to age, ancestry, color, marital status, medical condition, mental or physical disability, national origin, race, religion, political and/or third-party affiliation, sex, pregnancy, sexual orientation, gender identity, military or veteran status, or any other characteristic protected by law.

We encourage applications from all qualified candidates and will accommodate applicants’ needs under the respective laws throughout all stages of the recruitment and selection process.

Required Skill Profession

Drafters, Engineering Technicians, And Mapping Technicians


  • Job Details

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Unlock Your GPU ML Potential: Insight & Career Growth Guide


Real-time GPU ML 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 GPU ML in Warsaw, Poland, highlighting market share and opportunities for professionals in GPU ML roles.

155 Jobs in Poland
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Are You Looking for GPU ML Modeling / MLOps Engineer Job?

Great news! is currently hiring and seeking a GPU ML Modeling / MLOps 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 Advanced Micro Devices, Inc 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 Poland laws and regulations

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The average salary range for a varies, but the pay scale is rated "Standard" in Warsaw. 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 GPU ML Modeling / MLOps Engineer?

Key qualifications for GPU ML Modeling / MLOps Engineer typically include Drafters, Engineering Technicians, And Mapping Technicians 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 GPU ML Modeling / MLOps Engineer Job Success

Advanced Micro Devices, Inc interview tips for GPU ML Modeling / MLOps Engineer

Here are some tips to help you prepare for and ace your GPU ML Modeling / MLOps Engineer job interview:

Before the Interview:

Research: Learn about the Advanced Micro Devices, Inc'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.

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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 GPU ML Modeling / MLOps Engineer interview at Advanced Micro Devices, Inc, 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 Advanced Micro Devices, Inc'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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