Antal International | Deep Learning Engineer
2 weeks ago
Role Overview:
As a Senior Deep Learning Engineer, you will be responsible for designing, developing, and
deploying advanced deep learning models and algorithms for computer vision, natural language
processing (NLP), and virtual product placement applications in recorded video. This includes
integrating 2D and 3D virtual products into video content dynamically. You will work closely with
cross-functional teams to identify business opportunities and deliver tailored AI solutions that
align with innovative vision.
Key Responsibilities:
● Develop and optimize deep learning models for computer vision tasks, with a focus on
virtual product placement in recorded video content. This includes seamlessly integrating
2D and 3D virtual products into video frames.
● Work on NLP models to enhance contextual understanding and interaction with media
content.
● Collaborate with data scientists, software engineers, and business teams to develop and
implement AI-driven solutions that address key challenges in virtual product placement
for video content.
● Design scalable and efficient pipelines for model training, evaluation, and deployment,
specifically for 2D and 3D product placements in video.
● Utilize state-of-the-art techniques in machine learning and deep learning to enhance the
realism and accuracy of virtual product placement in digital media.
● Analyze large-scale video datasets to extract actionable insights, refine models, and
ensure continuous improvement in virtual product placement accuracy and user
engagement.
● Work closely with external stakeholders to ensure deep learning solutions align with
business objectives, especially the enhancement of virtual product placement for
targeted audiences.
● Stay up-to-date with the latest advancements in AI/ML and propose their integration into
the company’s solutions, including 2D/3D virtual product placement technology.
Qualifications and Experience:
● Master’s in Computer Science, Artificial Intelligence, Machine Learning, or related fields.
● 4+ years of experience in developing and deploying deep learning models, with a strong
focus on computer vision (including 2D/3D video processing) and NLP applications.
● Strong programming skills in Python and experience with deep learning frameworks like
TensorFlow, Keras, or PyTorch.
● Expertise in computer vision techniques such as object detection, image classification,
segmentation, and specifically virtual product placement (2D/3D) in video.
● Proven experience working with NLP technologies (e.g., transformers, language
modeling).
● Familiarity with cloud platforms (e.g., AWS, Azure, or GCP) for deploying machine
learning solutions.
● Strong problem-solving skills and the ability to work independently or within a team.
● Excellent communication and collaboration skills to work effectively with cross-functional
teams.
Preferred Skills:
● Experience with MLOps and deploying models at scale.
● Knowledge of edge computing for AI applications.
● Familiarity with virtual product placement technology, including integrating 2D/3D
products into video.
● Familiarity with audience context and behavior analysis solutions.
Why Join Us?
● Opportunity to work on impactful AI-driven projects with global teams.
● Be part of a company that values innovation and collaboration.
● Work in a dynamic and supportive environment in the heart of Bangalore, India.
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bangalore, India Antal International Full timeRole Overview:As a Senior Deep Learning Engineer, you will be responsible for designing, developing, anddeploying advanced deep learning models and algorithms for computer vision, natural languageprocessing (NLP), and virtual product placement applications in recorded video. This includesintegrating 2D and 3D virtual products into video content dynamically....
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bangalore, India Antal International Full timeRole Overview: As a Senior Deep Learning Engineer, you will be responsible for designing, developing, and deploying advanced deep learning models and algorithms for computer vision, natural language processing (NLP), and virtual product placement applications in recorded video. This includes integrating 2D and 3D virtual products into video content...
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