Hybrid AI Engineer I

at Euromonitor International

• Job title: AI Engineer I
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: €2,000 - €3,000 per month
• Degree requirement: Bachelor's Degree
• Tech skills: NoSQL, Numpy, Pandas, Python, PyTorch, Scikit-Learn, SQL, Tensorflow
• Location requirements: Hybrid, Vilnius, Lithuania

About the role

• Join Euromonitor International as an AI Engineer I, contributing to data science in a brand new AI team. Collaborate across global offices to build analytical and machine learning solutions.

Responsibilities

• Assist in gathering requirements and understanding business challenges to help frame them as data problems
• Support the identification and collection of relevant data sources for analysis and model development
• Perform basic exploratory data analysis (EDA) to check data quality and uncover initial insights
• Contribute to building and testing machine learning models under guidance from senior team members
• Collaborate with engineers to learn how models are deployed and maintained in production environments
• Prepare clear and simple visualizations or summaries to communicate findings to the team
• Participate in team discussions on best practices for experimentation and reproducibility
• Stay curious and keep learning about new developments in data science, machine learning, and LLMs

Requirements

• Good understanding of Python and its data ecosystem (e.g., pandas, NumPy, scikit-learn, PyTorch, TensorFlow)
• Good understanding of machine learning algorithms and statistical modeling
• Good understanding of databases (SQL and/or NoSQL) and data manipulation at scale
• Proven ability to translate business problems into data science solutions and communicate results effectively
• Familiarity with LLMs (Large Language Models) — experience fine-tuning, prompting, or integrating them into applications is a plus; strong interest in this area is essential
• Ability to translate business problems into AI solutions and communicate results effectively
• Knowledge of data quality assessment, feature engineering, and model evaluation techniques
• Experience with modern development practices (version control, testing, documentation)
• A collaborative mindset, curiosity, and willingness to experiment and learn in a fast-moving environment.
• Degree in Computer Science, Mathematics, Statistics, or a related quantitative discipline (advanced degree preferred)

Benefits

• Be a pioneer: Join a brand-new AI team and become one of the first engineers shaping its future
• Flexibility: Enjoy flexible working hours and a hybrid setup
• Global exposure: Work with stakeholders across multiple offices worldwide
• Cutting-edge tech: Experiment with emerging AI technologies, including LLMs and innovative approaches
• Collaboration: Partner with diverse teams and contribute to exciting, high-impact projects