Join the biggest international bidding and tender platform as a Senior LLM Expert. You’ll be instrumental in building and optimizing an LLM-based service, working alongside talented ML engineers to develop a cutting-edge search and matching product.

Key Responsibilities and Duties:

• Deploying LLM Models: Design, develop, and deploy the LLM-based system to provide content-related insights and generative AI applications, ensuring scalability, efficiency, and accuracy.
• Developing Semantic Search Service: Create and implement a semantic search service that enhances user experience and search accuracy.
• Generative AI Development: Engage in data processing, prompt engineering, and fine-tuning to tailor the LLM for various use cases.
• Evaluating Architecture Solutions: Assess potential architecture solutions considering cost, business requirements, emerging technologies, and technology requirements like latency, throughput, and scale.
• Maintaining Scalable Code: Write clean, scalable code ensuring reproducibility and seamless integration of models into production environments.
• Collaborating with Multidisciplinary Teams: Translate business requirements into LLM solutions by working closely with various teams.

Requirements:

• Experience in deploying large-scale language models like GPT, BERT, or similar architectures.
• Proficiency in LLM API, open-source models, prompt engineering, and fine-tuning.
• Strong understanding of semantic search and text summarization solutions.
• Advantageous: Experience with LLM for long-tailed language applications.
• Proficiency with cloud frameworks like AWS and Azure.
• Background in products related to text summarization, search, and matching.
• Strong programming skills.
• Deep understanding of machine learning algorithms, statistical models, and data structures.
• Bachelor’s or master’s degree in computer science, Engineering, Statistics, or a related field.
• Excellent written and spoken English communication skills.

Darwin Recruitment is acting as an Employment Business in relation to this vacancy.

Miguel Gomes