AI Innovation Engineer

Define and execute the AI / ML strategy for content generation (Gen-AI), entity linkage and matching, image processing, and content understanding.

• Lead the development of next-generation content generation systems using Large Language Models (LLMs)
• Architect scalable data platforms to support real-time and batch processing of media-rich datasets.
• Own the Data Quality of the deliverables and ensure the consistent performance of the models and its output quality.
• Define and implement standards for the organization that match industry best practices.
• Collaborate with product, engineering, and business teams to drive AI-powered innovation.
• Improve computer vision models for automated content tagging, video summarization, and understanding.
• Oversee MLOps infrastructure to ensure robust deployment and monitoring of ML models.
• Stay ahead of emerging trends in AI, deep learning, and media tech, integrating new research into practical applications.

Required Skills :

• Expert-level proficiency in Python, SQL, and big data tools (Spark, Kafka, Airflow).
• Extensive experience in deep learning, reinforcement learning, NLP, and computer vision.
• Experience in large-scale machine learning model deployment and optimization.
• Experience with Kubernetes, Docker, and cloud AI services.

Qualifications :

• Master’s in AI, Machine Learning, Data Science, or a related field.