Synthetic Data Generation Specialist
Experience - 8 years of overall experience
Location - Waukesha WI Whats in it for you The ideal candidate will bring strong expertise in Generative AI Computer Vision and simulation technologies to develop high-quality synthetic datasets that accelerate AI/ML model development.
This role focuses on designing advanced simulation models building diverse virtual environments combining synthetic and real-world data for AI training and developing automated data annotation pipelines.
Experience in autonomous vehicle synthetic data generation is highly preferred.
Responsibilities -
Design develop and optimize advanced simulation and synthetic data generation models using generative AI techniques such as GANs Diffusion Models and VAEs
-
Create and program diverse realistic virtual environments and scenarios to generate synthetic datasets across multiple use cases
-
Integrate synthetic data with real-world datasets to train test and validate AI perception planning and control algorithms
-
Develop automated pipelines for labeling and annotating synthetic data with high accuracy
-
Validate synthetic data quality using statistical and analytical methods
-
Collaborate with data scientists ML engineers and domain experts to ensure the technical accuracy and relevance of generated datasets
Mandatory Skills -
Bachelors / Masters / PhD in Computer Science or a related field
-
3 years of hands-on experience in synthetic data generation using deep learning frameworks such as PyTorch or TensorFlow
-
Strong proficiency in Python and ML/CV libraries (NumPy OpenCV scikit-learn PIL/Pillow)
-
Solid understanding of Computer Vision image processing and 3D graphics rendering pipelines
-
Strong analytical and problem-solving skills with the ability to evaluate data quality both quantitatively and qualitatively
Synthetic Data Generation Specialist Experience - 8 years of overall experience Location - Waukesha WI Whats in it for you The ideal candidate will bring strong expertise in Generative AI Computer Vision and simulation technologies to develop high-quality synthetic datasets that accelerate AI/ML m...
Synthetic Data Generation Specialist
Experience - 8 years of overall experience
Location - Waukesha WI Whats in it for you The ideal candidate will bring strong expertise in Generative AI Computer Vision and simulation technologies to develop high-quality synthetic datasets that accelerate AI/ML model development.
This role focuses on designing advanced simulation models building diverse virtual environments combining synthetic and real-world data for AI training and developing automated data annotation pipelines.
Experience in autonomous vehicle synthetic data generation is highly preferred.
Responsibilities -
Design develop and optimize advanced simulation and synthetic data generation models using generative AI techniques such as GANs Diffusion Models and VAEs
-
Create and program diverse realistic virtual environments and scenarios to generate synthetic datasets across multiple use cases
-
Integrate synthetic data with real-world datasets to train test and validate AI perception planning and control algorithms
-
Develop automated pipelines for labeling and annotating synthetic data with high accuracy
-
Validate synthetic data quality using statistical and analytical methods
-
Collaborate with data scientists ML engineers and domain experts to ensure the technical accuracy and relevance of generated datasets
Mandatory Skills -
Bachelors / Masters / PhD in Computer Science or a related field
-
3 years of hands-on experience in synthetic data generation using deep learning frameworks such as PyTorch or TensorFlow
-
Strong proficiency in Python and ML/CV libraries (NumPy OpenCV scikit-learn PIL/Pillow)
-
Solid understanding of Computer Vision image processing and 3D graphics rendering pipelines
-
Strong analytical and problem-solving skills with the ability to evaluate data quality both quantitatively and qualitatively
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