GenAI / AI-ML Experts

Multimodal GenAI Architect / AI-ML Engineer

Were 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:

Strong 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"

"

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.