AI/ML Engineer – Multimodal Content Intelligence – Contractor

enior AI/ML Engineer – Multimodal Content Intelligence (Contract)

Location

Dublin, Ireland (Hybrid)

Employment Type

Contract

Overview

A leading international technology research organization is seeking a Senior AI/ML Engineer to help develop next-generation content intelligence systems. This role focuses on building advanced multimodal AI solutions across video, audio, image, and text using state-of-the-art Multimodal Large Language Models (MLLMs).

You will contribute to the design, implementation, and optimization of large-scale content understanding platforms that enhance recommendation and discovery systems through advanced semantic analysis and content intelligence.

Key Responsibilities

• Develop and optimize multimodal AI frameworks focused on:
  • Semantic understanding
  • Narrative reasoning
  • High-level content interpretation
  • Cross-modal learning
• Design, implement, and maintain high-performance machine learning systems for content intelligence applications.
• Work closely with cross-functional engineering and research teams to integrate content understanding signals into production recommendation and discovery pipelines.
• Optimize model performance for:
  • Low-latency inference
  • High-throughput environments
  • Large-scale production deployment
• Investigate and resolve complex technical challenges related to multimodal learning and large-scale AI systems.
• Contribute to the continuous improvement of content analysis capabilities across video, image, audio, and text domains.

Required Qualifications

Education

• Master’s or PhD in:
  • Computer Science
  • Artificial Intelligence
  • Machine Learning
  • Related quantitative discipline

Experience

• 5+ years of professional experience in AI/ML research, applied machine learning, or advanced software engineering.

Technical Expertise

Strong hands-on experience in at least two of the following:

Multimodal Learning

• Integration of video, text, image, and audio modalities
• Cross-modal representation learning

Computer Vision

• Video understanding
• Temporal modeling
• Representation learning
• Visual content analysis

Natural Language Processing

• Semantic modeling
• Content quality evaluation
• Text understanding
• Information extraction

Machine Learning Frameworks

• Expert-level proficiency with:
  • PyTorch
  • TensorFlow
  • JAX

Multimodal Models

• Experience working with or fine-tuning:
  • Vision-Language Models (VLMs)
  • Multimodal Large Language Models (MLLMs)

Production Experience

• Proven experience deploying and maintaining large-scale AI models in production environments.

Preferred Qualifications

• Publications or contributions to leading AI conferences such as:
  • CVPR
  • ICCV
  • NeurIPS
• Experience building automated content tagging, classification, or recommendation signal generation systems from scratch.
• Knowledge of:
  • Audio signal processing
  • Image and video quality assessment
  • Aesthetic evaluation systems
• Experience working with recommendation, search, or content discovery platforms.