Description

As a Senior Data & AI Consultant, you will engage with customers to understand their needs and develop tailored solutions in Data, AI, and ML. This role involves collaborating with the Commercial Team, presenting clear proposals, and leveraging expertise to address industry-specific challenges.

Requirements

• •Solid understanding of data architectures, data warehouses, data lakes, and modern cloud technologies (AWS, Azure, GCP)
• •Experience with Machine Learning Operations (MLOps), data governance, and AI-powered analytics
• •Knowledge of streaming and real-time data processing (Kafka, Airflow, Kinesis)
• •Programming languages: Python, SQL (Spark or Scala is a plus)
• •Experience with AI frameworks and libraries (TensorFlow, PyTorch, OpenAI API)
• •Understanding of regulatory requirements and data security policies
• •German (Native), English (C1+)
• •Analytical Thinking: Ability to break down complex problems into components
• •Communication: Ability to explain technical concepts simply
• •Structured Work Approach: Experience in methodical requirement analysis
• •Persuasiveness: Ability to advise customers and enable decisions
• •Collaboration: Close interaction with internal teams
• •Industry Knowledge: Experience in the media sector or ability to adapt
• •Degree in Computer Science, Data Science, Engineering, Business Informatics, or a related field
• •5+ years of experience in Data Engineering, Data Science, or AI/ML consulting
• •Experience in consulting and presales, ideally with direct customer interaction
• •Industry knowledge in media companies or other data-driven industries

Tasks

• •Participate in initial customer meetings to identify requirements and business objectives
• •Analyze customer briefings to extract key challenges and identify missing information
• •Develop a rebriefing to align understanding with the customer
• •Create solution approaches for Data, AI, and ML projects using cloud technologies
• •Define necessary infrastructure, data architecture, and machine learning pipelines
• •Prepare a technical solution proposal, including team composition and estimated timeline
• •Support the Commercial Team in preparing proposals with technical rationale
• •Present solutions clearly for various stakeholders, both technical and business
• •Clarify technical and commercial questions during the proposal process
• •Execute Data, AI, and ML projects, preferably in agile teams
• •Quickly grasp challenges in the media industry and develop industry-specific solutions

Tools & Technologies