Working student - Junior AI and Machine Learning Specialist

Working student - Junior AI and Machine Learning Specialist

Company Description

IMPACT X – Brand & Content Impact Monitoring is an innovative, globally leading content and brand monitoring tool that goes beyond traditional communication management and monitoring. The platform measures the emotional and cognitive impact of brand communication, making campaign and brand performance visible and actionable for revenue-focused decision-making.

By leveraging engagement analytics and AI-driven insights, IMPACT X helps brands minimize communication mistakes, improve campaign effectiveness, and achieve their marketing goals more efficiently. The platform supports the entire communication lifecycle, from strategy and content planning to distribution, helping organizations make data-driven decisions that strengthen brand relevance and customer loyalty.

With the BCS model from ClientLink, digital communication management is systematically standardized through an impactful communication blueprint designed for large organizations across diverse industries.

Role Description

The Junior AI and Machine Learning Specialist is a temporary, remote role focused on developing, improving, and maintaining AI-driven features for IMPACT X’s brand monitoring and analytics platform.

Key responsibilities include developing and evaluating supervised and unsupervised machine learning models, analyzing user behavior and engagement metrics, and extracting actionable insights from structured and unstructured data. The role also involves working with SQL and Microsoft SQL Server to query, process, and analyze data, as well as leveraging Large Language Models (LLMs) for intelligent data analysis, text processing, and AI-powered insights.

The specialist will contribute to AI-powered image classification and analysis using LLMs and vision-language models, helping extract meaningful information from visual content and support automated content categorization. Additional responsibilities include data preprocessing, feature engineering, model evaluation, experimentation, technical documentation, and integrating AI capabilities into existing analytics workflows.

The specialist will collaborate with senior developers, data scientists, and product and communication teams to translate business requirements into effective machine learning solutions that improve brand monitoring, content analysis, and data-driven decision-making.

Qualifications

- Machine Learning: Practical experience with supervised and unsupervised learning techniques, including classification, clustering, and model evaluation.

- Programming Skills: Proficiency in Python and familiarity with relevant data science and machine learning libraries.

- SQL and Database Management: Experience writing SQL queries, joining and aggregating datasets, and working with Microsoft SQL Server.

- Large Language Models (LLMs): Practical experience or project exposure to LLMs, prompt engineering, and integrating LLM-based solutions into applications.

- AI-Powered Image Classification: Experience or project exposure to image classification, visual content analysis, and using LLMs or vision-language models to classify images and extract semantic information.

- Data Analysis: Strong analytical and problem-solving skills, with the ability to interpret user behavior, engagement metrics, and business performance data.

- Data Processing: Familiarity with data cleaning, preprocessing, feature engineering, and working with structured and unstructured datasets.

- Communication and Collaboration: Ability to document technical work, explain findings to non-technical stakeholders, and collaborate effectively with cross-functional teams.

- Business and Customer Orientation: Interest in understanding customer needs and translating business challenges into practical, data-driven solutions.

- Additional Beneficial Skills: Experience with APIs, cloud-based environments, computer vision, social media analytics, and marketing technology. Familiarity with traditional and digital marketing, including an understanding of marketing strategies, campaign performance, brand communication, and the business context of marketing.

- Education: A degree or ongoing studies in Computer Science, Data Science, Artificial Intelligence, Engineering, or a related field is preferred. Equivalent practical experience and relevant projects are also valued.

- Work Style: Ability to work independently, manage tasks effectively, and contribute to a remote team.