Generative AI Engineer

Job Title: Contract AI Engineer Location: Remote Contract Duration: 12 Months About Us: Our client is pushing the boundaries of AI-driven solutions to deliver innovative products that empower our clients. We are currently seeking a highly skilled AI Engineer on a contract basis to assist in the development of cutting-edge AI models and technologies. Role Overview: We are looking for an experienced AI Engineer with a deep understanding of both traditional and modern AI methodologies. The successful candidate will work on various AI/ML projects, including the development of language models, natural language processing (NLP) systems, generative AI, retrieval-augmented generation (RAG), and more. You will be expected to design, build, and configure models with a focus on performance metrics like precision and recall. Responsibilities: Develop and optimize large language models (LLM) and small language models. Implement and fine-tune Natural Language Processing (NLP) systems. Build and configure traditional AI models alongside modern generative AI (GenAI) systems. Apply techniques such as Retrieval-Augmented Generation (RAG) to enhance model efficiency and performance. Ensure AI models meet accuracy benchmarks, particularly in terms of precision and recall. Collaborate with cross-functional teams to integrate AI solutions into existing products. Stay updated with the latest trends in AI, machine learning, and natural language technologies. Required Qualifications: Proven experience in building and configuring both traditional AI models and modern LLMs. Strong understanding of NLP techniques and applications. Hands-on experience with precision and recall optimization. Expertise in developing small language models and handling data in resource-constrained environments. Experience with Generative AI and RAG frameworks. Proficiency with AI/ML tools and platforms such as TensorFlow, PyTorch, Hugging Face, etc. Familiarity with deployment and scaling of AI models in production environments. Preferred Qualifications: Experience in AI research or publications in relevant areas. Strong problem-solving skills and ability to work in a fast-paced environment. Excellent communication and collaboration skills.