Our client is a global provider of localization, translation, and content services, this company helps businesses adapt their products, services, and content for international markets. Their offerings include translation, software localization, transcreation, multimedia services, and content management. With a focus on quality, innovation, and customer collaboration, they support brands in delivering impactful, culturally relevant experiences to a global audience.
Full-time/ Remote/ Location: Italy/Spain/Poland 8 – 4:30 pm Irish time
Summary
We seek a Senior AI Engineer with strong hands-on experience in building and deploying custom AI models focused on natural language processing (NLP). You will work on developing cutting-edge solutions, such as text generation, machine translation, quality estimation, and predictive editing, to enhance our products and services.
Responsibilities
- Design, build, and deploy custom NLP-focused AI models that deliver practical value to internal teams and external clients
- Collaborate with Operations and Business Intelligence teams to source, clean, and prepare high-quality training data
- Integrate models into production systems and workflows in partnership with the Applied Technology team
- Act as an AI subject matter expert, providing guidance and technical input to Sales and Client teams during brainstorming and solution design sessions
- Continuously research and evaluate emerging tools and techniques in the AI and NLP space.
Requirements
- 5 years + experience in a similar position
- Proven experience developing and deploying models in NLP domains such as:
– Machine Translation
– Quality Estimation
– Predictive Text Generation
– Automatic Post-Editing
- Hands-on expertise with one or more major Python AI frameworks (e.g., PyTorch, TensorFlow, Keras)
- Strong understanding of state-of-the-art model architectures (e.g., Transformers, LLM fine-tuning, seq2seq)
- Experience deploying models to web servers and integrating with Web APIs or services
- Solid track record of delivering real-world NLP solutions in production environments
- Fluency in other languages is an advantage