AI Engineer III

Euromonitor International

AI Engineer shaping machine learning capabilities at Euromonitor International. Building prototypes and collaborating across teams to transform research into production-ready solutions.

Posted 6/16/2026full-timeVilnius • 🇱🇹 LithuaniaMid-LevelSenior💰 €4,000 - €5,000 per monthWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerGoogle Cloud PlatformNoSQLNumpyPandasPythonPyTorchScikit-LearnSQLTensorflow

About the role

Key responsibilities & impact

Design, build, and iterate on ML PoCs, prototypes, and experimental systems across a variety of data modalities.
Collaborate with data scientists to translate research ideas and models into efficient, scalable implementations.
Partner with software engineers to integrate and deploy machine learning models into production environments.
Conduct exploratory data analysis to uncover insights and guide model development.
Evaluate model performance, perform error analysis, and continuously improve model accuracy and efficiency.
Stay up to date with the latest ML research, tools, and frameworks—and identify where they can add value.
Contribute to establishing engineering standards, experimentation workflows, and reproducibility practices.
Support the design of data pipelines, feature stores, and model monitoring solutions as the team scales.

Requirements

What you’ll need

Strong programming skills in Python, with experience writing clean, modular, and testable code.
Advanced knowledge of database technologies (SQL / NoSQL)
Deep understanding of machine learning algorithms (supervised, unsupervised, and deep learning), both theoretical and applied.
Hands-on experience with ML frameworks and libraries such as TensorFlow, PyTorch, scikit-learn, or XGBoost.
Proficiency in data manipulation and analysis using pandas, NumPy, or similar tools.
Experience with end-to-end ML development, from data preprocessing to model deployment.
Familiarity with MLOps practices, including experiment tracking, model versioning, and monitoring.
Solid grasp of software engineering principles, including version control (Git), CI/CD, and containerization (Docker).
Strong problem-solving skills, curiosity, and an experimental mindset.
Excellent collaboration and communication skills—comfortable working cross-functionally in an agile, fast-paced environment.
Experience with cloud ML platforms (AWS SageMaker, GCP Vertex AI, or Azure ML).
Knowledge of LLMs, generative AI, or reinforcement learning.

Benefits

Comp & perks

Flexible work time with the perfect work/life balance
Wide variety of benefits like longer holidays, additional health insurance, social responsibility initiatives you can take part in, office perks
Intelligent and fun colleagues working in a constructive and inspiring atmosphere

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

PythonSQLNoSQLmachine learning algorithmssupervised learningunsupervised learningdeep learningTensorFlowPyTorchscikit-learn

Soft Skills

problem-solvingcuriosityexperimental mindsetcollaborationcommunicationagile environment