Deep Learning Engineer - Computer Vision & NLP (4-8 yrs)

Location : Bangalore, India.

Position Type : Full-time.

About Us : Our vision is to lead the industry in providing cutting-edge audience context solutions.

We are at the forefront of innovation in AI, and as a Senior Deep Learning Engineer, you will play a pivotal role in driving forward our virtual product placement solutions, focusing on 2D and 3D integration within recorded video content.

This role will involve close collaboration with our MENA team and external partners, enabling you to develop impactful AI-driven solutions.

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 our 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.

If you're passionate about leveraging deep learning to solve complex problems and create innovative solutions, we'd love to have you on our team.