AI Engineer

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Meltwater

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 2001

📱 Media

🤖 Artificial Intelligence

☁️ SaaS

Media • Artificial Intelligence • SaaS

Meltwater is a leading company specializing in media intelligence and social data analytics. Its platform provides businesses with tools to monitor media, understand consumer trends, and manage social media through AI-driven insights. Meltwater's comprehensive suite of services includes media relations, social listening, influencer marketing, and sales intelligence, aimed at empowering companies to make data-driven strategic decisions and improve marketing and PR outcomes. With a focus on providing robust data sets and transforming them into actionable insights, Meltwater supports global brands in navigating and thriving in the media landscape.

📋 Description

• 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

• 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

• Health insurance • Professional development opportunities