Posted Jul 24, 2025 173 views
We are seeking a talented AI Engineer with deep expertise in Artificial Intelligence, Machine Learning, Natural Language Processing, Large Language Models, and Retrieval-Augmented Generation to join our innovative team. The ideal candidate will be instrumental in designing, developing, and optimizing advanced AI-driven solutions that enhance business operations. This role involves leveraging cutting-edge machine learning techniques and retrieval-based generative models to build applications such as chatbots, virtual assistants, and document automation systems, ensuring high performance and contextual accuracy.
Key Responsibilities
Design and develop AI and machine learning models tailored for various applications including conversational agents and automation tools. Implement and fine-tune Natural Language Processing models and Large Language Models to meet enterprise-specific requirements. Construct and maintain Retrieval-Augmented Generation (RAG) pipelines to enhance information retrieval capabilities and improve response relevance. Work extensively with transformer-based architectures such as GPT, BERT, and T5, applying fine-tuning and optimization strategies to maximize model efficiency. Focus on reducing latency and supporting the deployment of AI models into production environments. Collaborate closely with cross-functional teams to integrate AI solutions seamlessly into existing workflows. Stay updated with the latest advancements and research in AI, ML, NLP, and LLM technologies. Assess both open-source and proprietary AI models for their applicability and effectiveness in real-world scenarios. Support continuous monitoring, evaluation, and iterative improvement of deployed models.
Required Qualifications
Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. Proven hands-on experience with machine learning frameworks such as TensorFlow, PyTorch, or JAX. Strong proficiency in NLP techniques including tokenization, embedding models, and text classification. Practical experience working with Large Language Models like GPT, BERT, LLaMA, or T5, including fine-tuning and customization. Familiarity with Retrieval-Augmented Generation architectures and vector databases such as FAISS, ChromaDB, or Pinecone, along with knowledge retrieval methods. Advanced programming skills in Python, with experience using libraries like Hugging Face Transformers, LangChain, and OpenAI APIs. Solid understanding of data preprocessing and handling large-scale text datasets. Exposure to cloud-based AI/ML platforms such as AWS, Azure, or Google Cloud Platform, including model deployment strategies. Awareness of MLOps best practices, including model monitoring tools and version control systems.
This is a full-time, in-person opportunity to work on state-of-the-art AI technologies within a collaborative and forward-thinking environment. Candidates passionate about pushing the boundaries of AI and contributing to innovative projects are encouraged to apply.
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Techcreatix
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