AI Translation Specialist

Job Title: AI Translation Specialist Job Summary We are seeking an AI Translation Specialist to develop, optimize, and evaluate AI-powered translation solutions for multilingual applications. The ideal candidate will have expertise in Natural Language Processing (NLP), Neural Machine Translation (NMT), Large Language Models (LLMs), localization, and linguistic quality evaluation. This role involves building and improving translation systems, ensuring linguistic accuracy, cultural relevance, and domain-specific quality while collaborating with AI engineers, linguists, product teams, and localization specialists. Key Responsibilities Design, develop, and optimize AI-based translation and multilingual language processing solutions. Train, fine-tune, and evaluate Neural Machine Translation (NMT) and LLM-based translation models. Develop translation workflows for enterprise applications, websites, mobile apps, and multilingual customer support. Create and optimize prompts and workflows for multilingual LLM applications. Evaluate translation quality using automated metrics and human linguistic reviews. Build domain-specific translation models using custom datasets and terminology. Develop and maintain multilingual datasets, glossaries, terminology databases, and translation memories. Collaborate with linguists and localization teams to improve translation accuracy, fluency, and cultural appropriateness. Implement Retrieval-Augmented Generation (RAG) and multilingual knowledge retrieval solutions where applicable. Integrate translation services with enterprise applications through APIs and cloud services. Monitor production translation quality and continuously improve model performance. Document translation methodologies, evaluation processes, and best practices. Required Qualifications Bachelor's or Master's degree in Computer Science, Artificial Intelligence, Computational Linguistics, Linguistics, Language Technologies, Translation Studies, or a related field. 3+ years of experience in AI translation, NLP, machine translation, localization engineering, or multilingual AI applications. Strong programming skills in Python. Experience with Natural Language Processing (NLP) and machine learning techniques. Experience with Neural Machine Translation (NMT) models and multilingual LLMs. Familiarity with Hugging Face Transformers, PyTorch, or TensorFlow. Experience integrating translation APIs and language services. Knowledge of localization workflows, translation memory systems, and terminology management. Strong understanding of multilingual data processing and text normalization. Excellent written and verbal communication skills in English; proficiency in one or more additional languages is highly desirable. Preferred Qualifications Experience with multilingual LLMs and prompt engineering. Familiarity with translation frameworks such as MarianMT, mBART, NLLB,

M2M-100

, or similar multilingual transformer models. Experience with cloud AI translation services such as Azure AI Translator, Google Cloud Translation, or Amazon Translate. Knowledge of Retrieval-Augmented Generation (RAG), vector databases, and multilingual search. Experience with localization platforms, CAT (Computer-Assisted Translation) tools, or Translation Management Systems (TMS). Understanding of Responsible AI, bias detection, and multilingual evaluation techniques. Experience with MLOps practices for deploying and monitoring AI translation models. Technical Skills Python Natural Language Processing (NLP) Neural Machine Translation (NMT) Large Language Models (LLMs) Prompt Engineering Hugging Face Transformers PyTorch TensorFlow MarianMT mBART NLLB M2M-100 FastAPI REST APIs SQL Git Docker AWS / Azure / Google Cloud Platform Translation Memory (TM) Systems CAT Tools Vector Databases (preferred) Soft Skills Strong linguistic and analytical skills Excellent written and verbal communication Attention to detail and language quality Cross-cultural awareness and localization expertise Problem-solving mindset Ability to work in cross-functional and multilingual teams Nice to Have Experience with multilingual conversational AI and virtual assistants Knowledge of speech translation, speech recognition (ASR), or text-to-speech (TTS) technologies Experience evaluating AI translation using BLEU, COMET, METEOR, chrF, or other quality metrics Familiarity with AI governance, privacy, and compliance for multilingual systems Contributions to multilingual NLP or open-source language technologies Key Performance Indicators (KPIs) Translation quality scores (BLEU, COMET, chrF, human evaluation) Linguistic accuracy and terminology consistency Reduction in post-editing effort Translation latency and throughput Production model reliability and availability User satisfaction with multilingual experiences Improvement in localization quality and coverage Successful deployment and adoption of AI translation solutions Location Hybrid / Remote / On-site (as applicable) Employment Type Full-time Ova Technologies