GenAI / AI-ML Experts

Role Overview

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

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.

Requirements

• 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.

Skills

• PyTorch
• LLM Integration
• MLOps
• Deep Learning
• GenAI