AI Engineer – NLP

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    "description": "<p><span style=\"font-family: arial, helvetica, sans-serif; font-size: 14pt\"><span style=\"font-size: 12pt; font-weight: bold\">Description</span></span></p>\n<p><span style=\"font-size: 14pt\"><br><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">We are seeking a skilled AI Engineer with a deep specialization in Natural Language Processing (NLP) to join Digitain’s innovation team. In this role, you will bridge the gap between cutting-edge language models and practical iGaming applications. You will be responsible for building sophisticated RAG (Retrieval-Augmented Generation) systems, speech-processing pipelines, and text classification engines to enhance our customer support, fraud detection, and betting operations. This role requires a blend of prompt engineering, architectural design, and MLOps proficiency to deploy scalable AI solutions.<br><br><span style=\"font-weight: bold\">Responsibilities<br></span></span></span></p>\n<p><span style=\"font-size: 14pt\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\"><br></span></span></p>\n<ul>\n<li><span style=\"font-size: 14pt\"><span style=\"font-family: arial, helvetica, sans-serif; font-size: 12pt\">Design and implement end-to-end NLP solutions, specifically focusing on RAG architectures to power internal knowledge bases and customer-facing chatbots<br></span></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: arial, helvetica, sans-serif\">Develop and fine-tune models for Automatic Speech Recognition (ASR/STT) to transcribe live betting calls and Speech-to-Text applications for customer support analysis</span></span><span style=\"font-size: 12pt\"><br></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: arial, helvetica, sans-serif\">Build models to classify user intent, detect toxic behavior, and analyze sentiment to support Responsible Gambling <span style=\"font-size: 12pt\">initiatives</span></span><br></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: arial, helvetica, sans-serif\">Experiment with and optimize Large Language Models (LLMs) using techniques like quantization, fine-tuning (PEFT/LoRA), and prompt engineering to align with business logic</span></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: arial, helvetica, sans-serif\">Write robust, production-ready Python code, ensuring modularity and scalability within a microservices architecture</span></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: arial, helvetica, sans-serif\">Manage the lifecycle of NLP models, including containerization (Docker), orchestration (Kubernetes), and monitoring drift in production environments</span></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: arial, helvetica, sans-serif\">Work closely with backend engineers and product managers to integrate AI features into existing betting platforms and CRM tools</span></span></li>\n</ul>\n<p><span style=\"font-size: 12pt\"><br></span><br></p>\n<p><span style=\"font-size: 12pt\"><span style=\"font-family: arial, helvetica, sans-serif\"><span style=\"font-weight: bold\">Requirements</span></span></span></p>\n<p><br></p>\n<ul>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: arial, helvetica, sans-serif\">3+ years in AI/ML engineering with a dedicated focus on NLP tasks</span></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: arial, helvetica, sans-serif\">Expert-level Python skills; strong familiarity with frameworks like PyTorch, TensorFlow, or JAX</span></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: arial, helvetica, sans-serif\">Hands-on experience with LLM frameworks (LangChain, LlamaIndex), Vector Databases (Pinecone, Milvus, or Weaviate), and Hugging Face transformers</span></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: arial, helvetica, sans-serif\">Experience with speech toolkits such as OpenAI Whisper, Kaldi, or similar ASR technologies</span></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: arial, helvetica, sans-serif\">Experience with CI/CD pipelines, API development (FastAPI/Flask), and model serving (Triton, TorchServe)</span></span></li>\n<li><span style=\"font-size: 12pt\"><span style=\"font-family: arial, helvetica, sans-serif\">Ability to translate complex gambling compliance and user experience requirements into technical AI solutions</span></span></li>\n</ul>",
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