AI Developer

3 days ago

Roorkee, Uttarakhand, India Athena Learning Management System Pvt. Ltd. Full time ₹ 2,40,000 per year

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):
• Computer Vision (object detection, face modeling, video

synthesis)
• Speech AI (TTS, ASR, voice cloning)
• 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, ₹20,000.00 per month

Work Location: In person

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