AI Engineer
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AI Engineer
Location
EngineeringRemote, Hungary, Hungary
Experience
Mid
Posted
Jul 14, 2026
Apply by
August 13, 2026
Applicants
0
Early applicantEasy applyFull-timeWork from Home
Job Description
### Description
We are looking for a passionate AI Engineer specialising in Natural Language Processing (NLP) and Machine Learning (ML) to contribute to Data Enrichment efforts within Meltwater. As a part of this role, you will work with experienced team members and product managers to design, test, and implement machine learning solutions.
Through Meltwater's innovative social listening platform, we ensure our clients never miss any mention of their brand or essential topics across various platforms, automating the entire social listening process.
Partner with us and be part of a diverse community that values your unique contributions, empowering you to reach new heights. Join us in crafting something extraordinary.
What You’ll Do:
- 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.
What You’ll Bring:
- 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.
- Programming Language: 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.
Office Location: Budapest, Szép u. 2, 1053 Hungary
Our Story
At Meltwater, we believe that when you have the right people in the right environment, great things happen.
Our best-in-class technology empowers our 27,000 customers around the world to make better business decisions through data. But we can’t do that without our global team of developers, innovators, problem-solvers, and high-performers who embrace challenges and find new solutions for our customers.
Our award-winning global culture drives everything we do and creates an environment where our employees can make an impact, learn every day, feel a sense of belonging, and celebrate each other’s successes along the way.
We are innovators at the core who see the potential in people, ideas and technologies. Together, we challenge ourselves to go big, be bold, and build best-in-class solutions for our customers.
We’re proud of our diverse team of 2,200+ employees in 50 locations across
25 countries around the world. No matter where you are, you’ll work with people who care about your success and get the support you need to unlock new heights in your career.
We are Meltwater. Inspired by innovation, powered by people.
Equal Employment Opportunity Statement
Meltwater is an Equal Opportunity Employer and Prohibits Discrimination and Harassment of Any Kind: At Meltwater, we are dedicated to fostering an inclusive and diverse workplace where every employee feels valued, respected, and empowered. We are committed to the principle of equal employment opportunity and strive to provide a work environment that is free from discrimination and harassment.
All employment decisions at Meltwater are made based on business needs, job requirements, and individual qualifications, without regard to race, color, religion or belief, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, marital status, veteran status, or any other status protected by the applicable laws and regulations.
Meltwater does not tolerate discrimination or harassment of any kind, and we actively promote a culture of respect, fairness, and inclusivity. We encourage applicants of all backgrounds, experiences, and abilities to apply and join us in our mission to drive innovation and make a positive impact in the world.
Key Responsibilities
- Develop scalable algorithms for processing large datasets.
- Implement and evaluate machine learning and deep learning algorithms for NLP.
- Design, develop, and test ML models and pipelines for real-time unstructured data processing.
- Collaborate with senior team members to analyze the impact of algorithm changes.
- Learn and grow under mentorship using industry-standard NLP tools.
Requirements
- Bachelor's Degree in Computer Science or a related field
- Master's Degree in Computer Science or a related field
Skills Required
PythonMachine LearningDeep LearningNeural NetworksTransformer ArchitectureNLPTokenizationNamed Entity RecognitionSentiment AnalysisPretrained Language ModelsFine-tuningTransfer LearningText ClassificationToken ClassificationLarge Language ModelsPromptingRetrieval-Augmented Generation (RAG)PyTorchTensorFlowDockerKubernetesInfrastructure-as-CodeProblem solvingCuriosityVerbal communicationWritten communicationAzureAWSGoogle CloudTerraformGenerative AIMultimodal Systems
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