As an AI /ML Engineer with SiteGround your primary focus will be on researching and adapting state-of-the-art technologies to develop innovative AI-powered products. Our team of AI experts at SiteGround is focused on research and development of AI services impacting both our internal systems and products for our valued clients. Through the years we’ve worked on many interesting problems, mostly related to NLP: question answering, dialogue systems, machine translation, topic modeling, classification, spam detection, etc. With the recent advancements and dynamic changes in the field we’ve switched to building generative AI solutions and employing large models. Now we are looking forward to our next ambitious task – establish an AI-first approach both for our products and within the company. In the context of these goals we are looking to expand our team with skilled AI enthusiasts. You’ll play an important role in the team, creating new and improving our existing AI services. Your day-to-day work will mostly fall in two main categories: research – following latest developments in the field, reading papers, brainstorming and building proof of concepts; and development – integrating the accepted solutions in production-ready APIs. YOUR RESPONSIBILITIES: Conduct thorough research of new algorithms, models and tools to stay ahead of AI innovations. Adapt and apply them, build proof of concept prototypes; Contribute to the full ML training life cycle from preparation, through data gathering and preparing datasets, to training, fine-tuning open-source models and evaluation; Participate in core development and integration of selected algorithms in our AI applications along with developers and devops engineers. Write efficient and scalable Python code to support the new AI functionality; Deploy and maintain existing services. Code fixes, API improvements, updates of older models; Support the AI transformation within the company, help with building tools to optimize processes for other teams; Occasionally participate in conferences, give talks and contribute to the AI community. OUR EXPECTATIONS: Bachelor’s degree in Computer Science, AI, or a related field; Master’s is advantageous; Previous experience in a similar role – i.e. ML engineer, data scientist, research engineer; Proficiency in Python with a good grasp of PyTorch or other deep learning frameworks; Strong foundation in statistics and familiarity with common ML algorithms. In-depth understanding of neural networks; Understanding of modern approaches and NN architectures – LLMs, diffusion models, multimodal models, LoRA, test-time compute, etc.; Proven interest in latest developments in generative AI, natural language processing or computer vision – through related experience or side projects. GREAT ADVANTAGE WILL BE: Hands-on experience in training or fine-tuning models with recent NN architectures; Previous hands-on experience in computer vision with traditional algorithms or latest models; Professional experience with managing ML models in production; Knowledge of data science libraries in Python such as NumPy and Pandas; Professional web development experience in Python; PhD in a related field.