Multimodal GenAI Architect / AI-ML Engineer

We're looking for an engineer who can adapt and extend GenAI architectures — training and testing modifications tailored to specific use cases and applications.

Key Responsibilities:

- Develop Multimodal Architectures: Design, train, and test AI models capable of processing, understanding, and fusing inputs from multiple modalities (text, image, audio, video, etc.).

- Data Pipeline Design: Build scalable pipelines for data collection, temporal alignment, and normalization across modalities.

- Model Optimization: Improve performance, latency, and contextual accuracy of multimodal models in production environments.

- Architecture Modification: Adapt and fine-tune existing GenAI/foundation model architectures to meet specific application requirements.

Required Skills:

- Solid foundation in deep learning, LLM integration, and AI/ML programming frameworks (PyTorch).





- Hands-on experience fine-tuning foundation models.

- Experience with multimodal model architectures (e.g., vision-language models, audio-text fusion).

- Solid understanding of model evaluation, testing, and production deployment practices.

Nice to Have:

- Experience with distributed training / large-scale model training.

- Familiarity with MLOps tools for pipeline automation and model monitoring.

Experience: 3–5 years Employment Type: Full-Time Availability: Immediate joiners"

Ai/ml,GenAI,LLM Integration,Pytorch,MLops
Deep learning, LLM integration, and AI/ML programming frameworks (PyTorch), multimodal model architectures (e.g., vision-language models, audio-text fusion), model evaluation, testing, and production deployment practices.&

📌 GenAI / AI-ML Experts (India)
🏢 KPIT Technologies
📍 India