GEN AI

Experience: 4+ years of experience in AI and machine learning

• Expertise in Python: Demonstrable experience with Python, including its data science and AI libraries such as TensorFlow, PyTorch, spaCy, and GPT (OpenAI). Familiarity with other programming languages such as Java or C++ is a plus.
• Azure OpenAI and Cloud Services: Hands-on experience with Azure OpenAI services, and a good understanding of other Azure services such as Azure Machine Learning, Azure Functions, and Azure Logic Apps for integrating AI capabilities.
• LLM and NLP Techniques: Deep understanding of Natural Language Processing (NLP) techniques, including tokenization, sentiment analysis, entity recognition, and especially the mechanics and applications of Large Language Models (LLMs).
• Creative Prompt Design: Ability to craft and refine prompts that effectively guide LLMs in producing desired textual outputs. This includes understanding different prompt types, such as zero-shot, few-shot, and chain-of-thought prompting.
• Strong programming skills in Python and familiarity with AI development tools and libraries.
• Should have hands-on experience in deploying at least one end to end GenAI project
• Knowledge of AI model training, fine-tuning, and deployment processes
• Excellent problem-solving and analytical skills
• Effective communication and interpersonal skills

Qualification

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