AI/ML Developer

Technical Skills & Experience

• Languages:

Python

• Frameworks:

PyTorch, TensorFlow, Keras, Flask, FastAPI

• Libraries & Tools:

NumPy, Pandas, Matplotlib, OpenCV, Pillow, MediaPipe, OpenPose, HuggingFace

• Computer Vision & Deep Learning:

1. GAN Architectures:

   Vanilla GAN, StyleGAN, CycleGAN, and other advanced GANs

2. Image Segmentation & Detection:

   U-Net, CNN-based detectors, semantic & instance segmentation

3. Generative Models:

   VAE, GANs, Image-to-Image Translation

4. Pose Estimation:

   OpenPose, MediaPipe

5. Image Generation & Transformation:

   Conditional GANs, Style Transfer, Domain Adaptation

• Model Serving & API Development:

Flask, FastAPI (building RESTful APIs for deep learning models)

• Data Handling & Visualization:

Pandas, NumPy, Matplotlib (data analysis, image annotation handling, and result visualization)

• LLM & Multimodal AI:

Responsibilities:

Design, develop, and deploy AI/ML models for computer vision, deep learning, and multimodal tasks

Work on GANs, VAE, segmentation, pose estimation, and generative AI solutions

Build and optimize RESTful APIs to serve ML/DL models in production

Collaborate with the team to integrate AI solutions into products

Perform data preprocessing, training, evaluation, and visualization

Stay updated with the latest AI/ML research and frameworks

Requirements:

Proven experience in AI/ML model development

Strong knowledge of Computer Vision & Deep Learning

Hands-on experience with GANs, segmentation, generative models, and pose estimationStrong problem-solving, analytical, and communication skills

Naukri