Senior AI Engineer – Computer Vision

Role: Senior AI Engineer – Computer Vision – Media & Broadcast Technology (Multimodal / Content Recognition)

Work location: Remote Role

Duration: 12+ Months

Job Description:

• AI Engineer to design, develop, and deploy AI-powered solutions supporting content creation, marketing asset generation, and media workflow automation — with a core focus on multimodal (image, video, text) content processing, including character, content, and image recognition.
• The ideal candidate will have strong hands-on expertise in computer vision and multimodal AI, cloud platforms, and software engineering best practices.

Required Qualifications

• 7+ years of software engineering experience with strong SDLC and version control knowledge.
• Strong proficiency in Python, with experience in Java, JavaScript, or Golang.
• Hands-on Computer Vision experience is required — building or fine-tuning custom recognition/detection models (not limited to calling a managed vision API).
• Hands-on experience building and integrating LLM-based applications.
• Experience with multimodal AI models across image, audio, and text — including vision-language models for open-ended content understanding (e.g., GPT-4V, Claude vision, Gemini multimodal, LLaVA, or similar).
• Experience with video processing: frame extraction, scene segmentation, and tracking entities across frames.
• 5+ years AWS and 1+ year Azure experience.
• Experience with scalable solutions using AWS, Azure, and Infrastructure as Code (Terraform).
• Strong understanding of digital and broadcast production workflows.
• Experience with system architecture, API integrations, and performance engineering.
• Strong knowledge of AI industry trends and best practices.
• Experience working in Agile teams and code review environments.

Preferred Skills

• Experience training/fine-tuning models to recognize proprietary or branded visual content (e.g., a studio’s own characters or assets not known to public models).
• Experience with vector embeddings and similarity search (FAISS, Pinecone, pgvector) for asset/character matching.
• CI/CD and DevOps practices for ML model deployment (MLOps).
• Cloud-native application development.
• C4 Architecture Modeling.
• Media, broadcast, or content management systems experience.