Job Description

1) Job Role and Responsibilities

Design, train, and fine-tune deep learning models for speech synthesis, facial animation,
image/video generation, and multimodal AI.

Develop end-to-end AI pipelines covering data preprocessing, training, evaluation, and
deployment.

Work with large-scale multimedia datasets (video, audio, and text) and optimize models for
real-time GPU inference.

Integrate AI models with backend systems using APIs or microservices. Research and implement state-of-the-art algorithms in Generative AI, Computer Vision, and
Speech AI.

Collaborate with backend, frontend, and product teams for seamless model integration. Maintain documentation, experiment logs, and reproducible workflows.
2) Technical Skills Required

Programming Languages: Python (primary), C++ (optional)

Frameworks: PyTorch, TensorFlow, Keras

Model Architectures: CNNs, RNNs, Transformers, GANs, VAEs, Diffusion Models

Libraries: OpenCV, NumPy, Pandas, Scikit-learn, Librosa, Dlib, MediaPipe

Domains (hands-on in any one): o Computer Vision (object detection, face modeling, video

synthesis) o Speech AI (TTS, ASR, voice cloning) o Generative AI (GANs, diffusion models)

DevOps & Deployment: Docker, Git, Linux, TorchServe, FastAPI / Flask, CUDA optimization

Video/Audio Tools: FFmpeg, MoviePy, Torchaudio

Bonus Skills: Multimodal AI, emotion/gesture modeling, ONNX Runtime, TensorRT, model

quantization, AWS/GCP/Azure cloud training

Soft Skills: Analytical thinking, collaboration, communication, curiosity for emerging AI

technologies

3) Eligibility

Experience: 2-3 years as an AI / ML Developer (professional experience required). Education: Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Data
Science, or a related field.

Work Setup: Offline (Work from Office).
Job Type: Full-time

Pay: ?15,000.00 - ?20,000.00 per month

Work Location: In person