Job Title: AI/ML Engineer

Job Summary:

We are looking for an experienced AI/ML Engineer to design, develop, and deploy machine

learning models and systems specifically tailored for generating realistic mannequin-style apparel

images. This role will involve working with state-of-the-art generative models (e.g., GANs,

diffusion models) and image processing techniques to create a scalable and efficient system that can

transform diverse apparel inputs into consistent, high-quality, and visually appealing mannequin

presentations.

Responsibilities:

- Conduct research into cutting-edge AI/ML techniques for image generation, particularly

focusing on generative adversarial networks (GANs), diffusion models, and other relevant

architectures for realistic apparel synthesis.

- Design, implement, train, and optimize deep learning models for generating apparel images on

virtual or AI-generated mannequins.

- Work with large datasets of apparel images and mannequin data, including data cleaning,

augmentation, and preparation for model training.

- Contribute to the design and development of scalable and robust AI systems and infrastructure

for image generation, including API integration and deployment.

- Establish and implement metrics for evaluating the quality, realism, and consistency of

generated images,



and iterate on models based on performance.

- Work closely with cross-functional teams, including product managers, designers, and other

engineers, to understand requirements and deliver impactful solutions.

- Optimize models for efficiency, speed, and resource utilization for real-time or near real-time

generation.

Required Skills and Qualifications:

Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Machine Learning,

Electrical Engineering, or a related quantitative field.

4+ years of skilled experience in AI/ML engineering, with a strong focus on deep learning

and computer vision.

Proven experience with generative models (e.g., GANs, VAEs, Diffusion Models) for image

synthesis and manipulation.

Proficiency in deep learning frameworks such as TensorFlow, PyTorch, or JAX.

Strong programming skills in Python.

Experience with image processing libraries (e.g., OpenCV, Pillow).

Solid understanding of machine learning principles, algorithms, and data structures.

Experience with cloud platforms (AWS, GCP, Azure) for ML model training and deployment.

Excellent problem-solving skills and the ability to work independently as well as in a team

environment.

Strong communication and presentation skills.

📌 AI/ML Engineer (Kochi)
🏢 Important Company of the Sector
📍 Kochi