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Senior Computer Vision Engineer (Remote - EMEA) Job Opening In Germany, Germany – Now Hiring Jobgether


Job description

This position is posted by Jobgether on behalf of a partner company.

We are currently looking for a Senior Computer Vision Engineer in EMEA.

As a Senior Computer Vision Engineer, you will play a key role in designing and deploying advanced AI models that drive next-generation video and avatar technologies.

Your work will focus on areas such as face emotion recognition and generative video systems, contributing directly to innovative, user-centric products.

Collaborating with cross-functional teams, you’ll transform cutting-edge research into production-ready solutions while maintaining technical excellence and scalability.

This position offers the opportunity to work on impactful projects that redefine human-AI interaction and video innovation within a dynamic and forward-thinking environment.

Accountabilities:

  • Research and design advanced computer vision and video generation algorithms based on the latest academic findings.
  • Develop, train, and fine-tune neural network models such as GANs, Diffusion Models, Transformers, and NeRFs to achieve high-quality results.
  • Define key performance metrics and run rigorous experiments to evaluate and optimize model accuracy and efficiency.
  • Source, manage, and preprocess large-scale datasets for training and validation purposes.
  • Write clean, scalable, and production-ready code, collaborating with engineers to integrate AI models into live systems.
  • Document architectures, results, and implementation details clearly, ensuring knowledge transfer across the technical team.
  • Act as a thought leader by staying current with industry advancements and recommending emerging technologies.

Requirements

  • Bachelor’s or Master’s degree in Computer Science, Machine Learning, or a related field.
  • Minimum 4 years of professional experience in machine learning or deep learning.
  • Strong proficiency in Python and ML frameworks such as PyTorch or TensorFlow.
  • Proven expertise in computer vision and generative models (GANs, VAEs, Diffusion Models).
  • Solid understanding of model training, evaluation, and deployment pipelines.
  • Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools (Docker, Kubernetes).
  • Excellent analytical, problem-solving, and collaboration skills with a passion for continuous learning.

Benefits

  • Monthly compensation of $5,000 – $5,800, depending on experience and scope.
  • Flexible contract terms — independent contractor role with invoicing flexibility.
  • Opportunity to work on impactful, AI-driven video generation technologies.
  • Collaborative and inclusive work culture fostering innovation and professional growth.
  • Remote work flexibility across EMEA.

Jobgether is a Talent Matching Platform that partners with companies worldwide to efficiently connect top talent with the right opportunities through AI-driven job matching.

When you apply, your profile goes through our AI-powered screening process designed to identify top talent efficiently and fairly.
🔍 Our AI thoroughly analyzes your CV and LinkedIn profile, focusing on your skills, experience, and achievements.
📊 It then compares your profile to the job’s key requirements and past success factors to calculate your match score.
🎯 The top three candidates with the highest match scores are automatically shortlisted for the role.
🧠 When necessary, our human team performs an additional review to ensure no outstanding profile is overlooked.

This process is transparent, skills-based, and bias-free, emphasizing your professional fit and potential.

Once the shortlist is finalized, it is shared directly with the hiring company, which then conducts interviews or additional assessments.

Thank you for your interest!

 

#LI-CL1

Required Skill Profession

Computer Occupations


  • 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 Jobgether 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 Germany laws and regulations

What Is the Average Salary Range for Senior Computer Vision Engineer (Remote EMEA) Positions?

The average salary range for a varies, but the pay scale is rated "Standard" in Germany. 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.

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Key qualifications for Senior Computer Vision Engineer (Remote EMEA) typically include Computer Occupations 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 Senior Computer Vision Engineer (Remote EMEA) Job Success

Jobgether interview tips for Senior Computer Vision Engineer (Remote   EMEA)

Here are some tips to help you prepare for and ace your Senior Computer Vision Engineer (Remote EMEA) job interview:

Before the Interview:

Research: Learn about the Jobgether'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 Senior Computer Vision Engineer (Remote EMEA) interview at Jobgether, 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 Jobgether'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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