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JOIN THE TEAM

Be part of the future

DDE is fueled by its people - passionate and driven individuals who share a goal of building a better tomorrow. We are a global network of passionate, diverse and entrepreneurial professionals that believe in our collective ability to transform vision into reality.

BENEFITS & WELFARE

Space for creative minds

At DDE, we believe maximizing the health, wealth, and well-being of our employees is critical to promoting the most creative work environment. In addition to our robust health benefits, we provide our employees with a wide variety of work-life benefits.

BENEFITS

Major Health Insurances

Lunch Meal Support

Flexible Vacation Time 

Holidays Leave

Provision of Leave

for Congratulations & Condolences

Work-related Expenses Support

for Conference, Transportation, Book Purchase

Friday Half-working Day

Twice a month (2nd & 4th weeks)

Can vary depending on locations

JOIN THE TEAM

Be part of the future

DDE is fueled by its people - passionate and driven individuals who share a goal of building a better tomorrow. We are a global network of passionate, diverse and entrepreneurial professionals that believe in our collective ability to transform vision into reality.

BENEFITS & WELFARE

Space for creative minds

At DDE, we believe maximizing the health, wealth, and well-being of our employees is critical to promoting the most creative work environment. In addition to our robust health benefits, we provide our employees with a wide variety of work-life benefits.

Major Health Insurances

Flexible Vacation Time

Provision of Leave

for Congratulations & Condolences

Lunch Meal Support

Holidays Leave 

Work-related Expenses Support

for Conference, Transportation, Book Purchase

Friday Half-working Day

Twice a month (2nd & 4th weeks)

*Can vary depending on locations

QUALIFICATIONS

We are always looking for talents from around the globe

We are 

looking for

Those who are service-oriented, with ideas and planning skills

Those who take initiative, collaborate, and communicate actively

Those who are passionate and interested in new challenging technologies

Those who can actively communicate with team members

QUALIFICATIONS

We are always looking for talents from around the globe

We are looking for

Those who are service-oriented, with ideas and planning skills

Those who are passionate and interested in new challenging technologies

Those who take initiative, collaborate, and communicate actively

Those who can actively communicate with team members

OPEN POSITIONS

Our positions are open all year around

We are looking for hands-on AI/ML Engineers and Researchers with a strong technical background in data-driven services and AI/ML development. Apply today to join our passionate and talented global team!

Current Available Positions

Position

MLOps Engineer


Responsibilities

  • Deploy and operate ML services researched/developed by DDE in the Kubernetes environment
  • Versioning and automating model deployment to services
  • Design and manage pipelines to leverage DDE’s data


Basic Qualifications

  • Bachelor’s degree in Computer Science or related field.
  • 3+ years of experience in software engineering (backend), AWS-based cloud operations
  • Proficient in deep learning inference and learning (forward/backward propagation)
  • Experience in using one or more of the ML frameworks such as Pytorch, Tensorflow, and Keras
  • Good understanding on the basics of hardware, cost optimization, and speed of using ML models
  • Experience in operation improvement through introduction of various ML frameworks


Preferred Qualifications

  • In-depth experience in deployment/operation using container based technologies (Docker, Amazon EKS, Kubernetes, etc.)
  • Experience in developing/operating large-capacity traffic services
  • Experience in deep learning models serving optimization and deployment (TensorRT, Triton, Bento ML, etc.)


Working Conditions 

  • Full-time (3 months probationary period)
  • 5 days a week (Mon-Fri) 9:00 am – 6:00 pm


Application Process

  • Application Review > Phone Interview > Virtual and or Onsite Interview > Offer


Candidates without prior industry experience but keen on working in the world of data and AI are encouraged to apply.


Click here to apply

Position

AI/ML Voice Analysis Researcher


Responsibilities

  • Join with AI team to develop voice cloning engine, TTS engine, emotional synthesis engine
  • Develop voice signal processing engine (noise cancellation, echo cancellation, sound quality improvement, etc.)
  • Development and operation of engine serving system related to voice technology


Basic Qualifications

  • B.S/M.S/Ph.D. in Computer Science or related field.
  • 3+ years of experience in software development, ML or high-performance computing
  • Experience in AI R&D tasks such as Machine learning/Deep learning related to Voice Cloning and Analysis, TTS, Emotional Synthesis
  • Strong mathematical background in Linear Algebra and Computer Analysis.
  • Experience in developing speech synthesis models (Tacotron, Transformer, etc.), speech synthesis vocoders (WaveNet, WaveRNN, WaveGAN, etc.)
  • Highly competent in algorithms and programming, strong coding skills in C/C++, Python, etc.
  • Deep understanding of major ML frameworks (PyTorch, TensorFlow, Keras, etc.)
  • Good understanding of state-of-the-art deep learning and voice analysis techniques.
  • Have ability to implement the emerging ML models from scientific papers related to voice cloning and analysis, TTS.


Preferred Qualifications

  • Experience in ML-Based Service Pipeline Development (MLOps) such as Airflow, Kubeflow Pipelines
  • Have practical experience in ML researcher/engineer/practitioner
  • Rewarded from ML challenges such as Kaggle, etc
  • Big model training experience (multi-gpu/distributed training)
  • Experience in publishing papers in Voice Cloning and Analysis, NLP top-tier conferences


Working Conditions 

  • Full-time (3 months probationary period)
  • 5 days a week (Mon-Fri) 9:00 am – 6:00 pm


Application Process

  • Application Review > Phone Interview > Virtual and or Onsite Interview > Offer


Candidates without prior industry experience but keen on working in the world of data and AI are encouraged to apply.


Click here to apply

Position

AI/ML Korean-based NLP Researcher


Responsibilities

  • 머신러닝 서비스 모델 개발
  • 머신러닝, 딥러닝 기반 분석 시스템 개발


Basic Qualifications

  • 컴퓨터공학 및 전산 관련 전공
  • 머신러닝 개발 경험 1년 이상
  • PyTorch/Tensorflow 사용 가능
  • NLP 관련 프로젝트 경험
  • RDB/SQL 사용 가능자


Preferred Qualifications

  • 검색/분석엔진 개발 경험
  • 빅데이터 분석 경험자
  • Restful API 설계/구현 가능자
  • 리눅스 명령 활용 가능자


Working Conditions 

  • Full-time (3 months probationary period)
  • 5 days a week (Mon-Fri) 9:00 am – 6:00 pm


Application Process

  • Application Review > Phone Interview > Virtual and or Onsite Interview > Offer


Candidates without prior industry experience but keen on working in the world of data and AI are encouraged to apply.


Click here to apply

Join the team today

Join the team today

Data Design Engineering

Asia HQ

Addr. 2F, 12, Digital-ro 31-gil, Guro-gu, Seoul, South Korea

Tel. 070-8830-1621 ｜ Email. info@datadesign.engineering


© Data Design Engineering all rights reserved.

다.

Data Design Engineering

Asia HQ

Addr. 2F, 12, Digital-ro 31-gil, Guro-gu, Seoul, South Korea

Tel. 070-8830-1621 ｜ Email. info@datadesign.engineering


ⓒ Data Design Engineering all rights reserved