Company Introduction
Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change.
By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses.
Responsibilities
- Participate in initial customer meetings to identify requirements and business objectives
- Structurally analyze customer briefings to extract key challenges and identify missing information
- Develop a rebriefing to align the enhanced understanding with the customer
- Develop solution approaches for Data, AI & ML projects, considering cloud technologies (AWS, Azure, GCP)
- Define the necessary infrastructure, data architecture, and machine learning pipelines
- Create a technical solution proposal, including team composition and estimated implementation timeline
- Support the Commercial Team in preparing proposals, including the technical rationale
- Present solutions in a clear and understandable manner for different stakeholders (both technical & business)
- Clarify technical and commercial questions throughout the proposal process
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, etc.)
- Programming languages: Python, SQL (Spark or Scala is a plus)
- Experience with AI frameworks and libraries (TensorFlow, PyTorch, OpenAI API, etc.)
- Understanding of regulatory requirements and data security policies
- Analytical Thinking: Ability to break down complex problems into components and derive structured solutions
- Communication: Ability to explain technical concepts in a simple and convincing way, even to non-technical stakeholders
- Structured Work Approach: Experience in methodical requirement analysis and solution development
- Persuasiveness: Ability to advise customers and enable well-informed decisions
- Collaboration: Close interaction with internal teams to ensure a seamless transition from presales to delivery
- Industry Knowledge: Experience in the media sector or the ability to quickly adapt to media-related challenges
Benefits
- Competitive salary and benefits package
- Opportunities for professional development and growth
- Collaborative and supportive work environment
- Flexible work arrangements (remote/hybrid options)
- Company-sponsored team building and social events