ABOUT US
Since 2015, we’ve been disrupting influencer and social media marketing like few other agencies. We are currently establishing ourselves as one of the largest social powerhouses in the DACH region. With over 210 social-first employees, two in-house studios, our own production company, proprietary social technology, and media channels with over 1 million followers, we are at the forefront of the industry.
With locations in Berlin, Hamburg, and Cologne, we specialize in creation, project management, consulting, social media, performance marketing, and (post-)production.
Job Overview
We are looking for an In-House AI Consultant to drive AI adoption and integration across all departments. This role focuses on optimizing workflows, enhancing productivity through AI-driven solutions, and supporting the engineering team with AI model implementation and research. The ideal candidate has a strong technical background in AI models, workflow automation, and hands-on experience with Large Language Models (LLMs) and related technologies.
Key Responsibilities
AI Workflow Optimization & Departmental Support
Serve as the primary AI expert, supporting teams in creation, project management, consulting, social media, performance marketing, and (post-)production.
Analyze and map workflows to identify AI-driven efficiency improvements.
Build, customize, and implement AI assistance tools using ChatGPT, Langdock, and other AI solutions to optimize productivity.
Provide training and best practices for employees on leveraging AI tools in their daily tasks.
Stay updated on AI advancements and proactively recommend AI-driven solutions to enhance company operations.
Technical AI Development & Research
Assist the Engineering Team in implementing and fine-tuning AI models such as LLMs, CLIP, XCLIP, and other advanced AI technologies.
Conduct in-depth research on new AI models, tools, and frameworks, evaluating their pros, cons, and best practices for integration.
Develop and maintain Python scripts for AI model implementation, testing, and deployment.
Collaborate with developers and data scientists to integrate AI functionalities into existing systems and workflows.
Ensure ethical AI practices and compliance with industry regulations.
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