Senior NLP LLM Engineer

Social Discovery Group (SDG) is one of the world's largest groups of social discovery companies, uniting millions of users on dozens of products. SDG solves the problem of loneliness, isolation, and disconnection - transforming virtual intimacy into the new normal. SDG products redefine the way people interact and connect with each other.

Our portfolio includes social entertainment platforms designed to connect people online across different cultures in different parts of the world. This includes globally recognized brands such as DateMyAge, Dating.com, EuroDate, Dil Mil and Cupid Media. SDG has a presence in more than 150 countries.

We bring together a team of like-minded people and IT professionals specializing in the creation and development of globally impactful social discovery products. Our international team of 1000+ professionals and digital nomads works all over the world. Our teams of digital nomads work remotely from Cyprus, Malta, the USA, Armenia, Georgia, Kazakhstan, Montenegro, Poland, Latvia, Serbia, Spain, Portugal, UAE, Israel, Turkey, Thailand, Indonesia, Japan, Hong Kong, Australia and many other locations.

We’re proud to be a two-time “Great Place to Work” winner (USA & Japan, 2024–2025) and a Top-5 Company for Work-From-Anywhere Jobs (FlexJobs, 2025).

We are looking for a Senior NLP/LLM Engineer .

Your main tasks will be:

• Conducting experiments with LLMs: Explore and analyze the effectiveness of different architectures and techniques (SFT, RLHF, Adapters, etc.) to enhance the capabilities of AI models.
• Developing and implementing evaluation methodologies: Implement and maintain robust frameworks to assess the performance, accuracy, and user satisfaction of AI bots, including offline and online metrics.
• Optimizing models for inference: Improve the efficiency and speed of AI models during inference to ensure they meet the performance and scalability requirements for production environments.
• Collaborating with cross-functional teams: Work closely with data scientists, software engineers, and product managers to integrate AI solutions into the overall product pipeline.

We expect from you:

• Deep understanding of ML and DL principles: Strong knowledge of classical machine learning algorithms, model validation approaches, and evaluation metrics, as well as neural network architectures, training principles, loss functions, and deep learning metrics.
• Deep understanding of classic NLP: Hands-on knowledge of core NLP approaches and tasks, including text preprocessing, TF-IDF and vectorization methods, text classification, named entity recognition, semantic similarity, and transformer-based models such as BERT.
• Deep understanding of LLMs: Practical experience with large language models, including fine-tuning and adaptation via SFT, LoRA, QLoRA, prompt tuning, and prefix tuning; familiarity with ali