Project Manager

We are seeking skilled LLM Engineers with 5 to 8 years of experience to design, fine-tune, and implement large language model (LLM)-based solutions for an AI integration project. This role involves developing AI-driven functionalities tailored for Salesforce CRM and service ticketing platforms using Azure OpenAI and OpenAI technologies. **Key Responsibilities:** - Develop and deploy LLM-based solutions for AI integration into Salesforce and service ticketing systems. - Fine-tune pre-trained language models (e.g., GPT) to align with business requirements and enhance application performance. - Collaborate with architects and stakeholders to implement generative AI-driven solutions for workflow automation and customer support. Ensure optimized performance and accuracy of LLMs for use cases such as ticket categorization, routing, and customer interaction. Design and implement scalable, secure, and compliant LLM-based architectures. Stay updated on advancements in AI/ML and LLM technologies and apply innovative techniques to solve business challenges. Qualifications:Bachelors or Masters degree in Computer Science, Engineering, or related fields. 5 to 8 years of experience in software development or machine learning, with strong exposure to LLMs and generative AI models. Hands-on experience with Azure OpenAI, OpenAI APIs (e.g., GPT models), and their integration into enterprise systems. Proficiency in programming languages such as Python, with a focus on NLP libraries and ML frameworks (e.g., TensorFlow, PyTorch, Hugging Face). Strong understanding of data preprocessing, model training, and optimization techniques for large-scale applications. Preferred Skills:

Experience integrating LLM-based solutions with Salesforce and service ticketing platforms. Knowledge of cloud deployment and automation practices using tools like Docker, Kubernetes, or Azure DevOps. Familiarity with API development and integration for real-time AI functionalities. Understanding of data governance, security, and compliance standards in AI implementations