AI Engineer

Meltwater

AI Engineer specializing in Natural Language Processing and Machine Learning, contributing to data enrichment efforts at Meltwater. Collaborating with teams to design and implement scalable solutions.

Posted 7/10/2026full-timeRemote • 🇭🇺 HungaryMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AWSAzureCloudDockerKubernetesPythonPyTorchTensorflowTerraform

About the role

Key responsibilities & impact

Contribute to the development of scalable algorithms for processing large datasets, implement and evaluate machine learning and deep learning algorithms for Natural Language Processing/Understanding.
Assist in the design, development, and testing of ML models and pipelines for real-time processing of unstructured data.
Collaborate with senior team members to analyze the impact of algorithm changes.
Learn and grow under mentorship, gaining exposure to industry-standard NLP tools and techniques.

Requirements

What you’ll need

Bachelor’s Degree in Computer Science or a related field, with 3 years working experience OR a Master’s Degree in Computer Science or a related field, with 1 years working experience.
Proficiency in Python.
Solid understanding of data structures and algorithms.
Proficient in Machine Learning, with a solid understanding of neural networks and the Transformer architecture.
Familiar with foundational NLP tasks such as tokenization, Named Entity Recognition, and sentiment analysis.
Experience with modern approaches built on pretrained language models - fine-tuning and transfer learning, text and token classification.
Working knowledge of large language models, including prompting and retrieval-augmented generation (RAG).
Experience or coursework in Deep Learning frameworks like PyTorch or TensorFlow.
Strong problem-solving skills and a curiosity for learning new technologies.
Good verbal and written communication skills.
Familiarity with cloud platforms (e.g., Azure (preferable), AWS, or Google Cloud).
Basic knowledge of containerization tools like Docker and orchestration platforms like Kubernetes.
Interest in infrastructure-as-code tools like Terraform.
Passion for exploring the intersection of NLP and emerging fields such as generative AI or multimodal systems.

Benefits

Comp & perks

Health insurance
Professional development opportunities

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

Machine LearningDeep LearningNatural Language ProcessingData StructuresAlgorithmsNeural NetworksTransformer ArchitectureTokenizationNamed Entity RecognitionSentiment Analysis

Soft Skills

Problem-Solving SkillsCuriosity for LearningVerbal CommunicationWritten Communication