Project Role : AI / ML Engineer
Project Role Description : Develops applications and systems that utilize AI tools, Cloud AI services, with proper cloud or on-prem application pipeline with production ready quality. Be able to apply GenAI models as part of the solution. Could also include but not limited to deep learning, neural networks, chatbots, image processing.
Must have skills : Large Language Models
Good to have skills : NA
Minimum 15 year(s) of experience is required
Educational Qualification : 15 years full time education

Summary: As an LLM Developer, Manages and optimizes the infrastructure supporting AI systems. Roles & Responsibilities: -Responsible for designing, developing, and maintaining end-to-end applications that utilize Large Language Models. -Work closely with data scientists, AI researchers, and front-end and back-end developers to build scalable and efficient solutions. -Involve in both the implementation of LLMs and the integration of these models into user-friendly applications. -Train, and fine tune LLMs to improve performance, accuracy and alignment of the general-purpose models. -Develop and integrate LLMs and/or LLM applications into products and services. -Design, develop, and optimize Artificial Intelligence (AI) prompts. -Optimize Large Language Models (LLMs) to guide their outputs towards high-quality and contextually relevant responses, utilizing domain knowledge. -Design comprehensive systems that incorporate LLMs or LLM applications. -Formulate effective prompts for Generative AI models and develop applications using a complete technology stack. -Apply domain-specific data and techniques for domain adaptation. -Enhance model accuracy and effectiveness through fine-tuning. -Build robust and scalable back-end services using technologies such as Node.js, Python, or Java. -Work closely with cross-functional teams to gather requirements and provide technical insights. -Participate in code reviews, testing, and debugging processes to maintain code quality. -Stay up-to-date with the latest advancements in LLMs and related technologies. -Identify opportunities to enhance application performance, security, and scalability. Professional & Technical Skills: -Proven experience in full-stack development, with a strong understanding of both front-end and back-end technologies. -Proficiency in programming languages such as Python, JavaScript, and familiarity with frameworks like React, Angular, or Vue.js. -Experience with machine learning frameworks and libraries. -Knowledge of deploying and managing machine learning models in production environments. -Strong understanding of RESTful API design and implementation. -Familiarity with cloud platforms (e.g., AWS, GCP, Azure) and containerization technologies (e.g., Docker, Kubernetes). -Excellent problem-solving skills and attention to detail. -Strong communication and collaboration skills. Must have Skills: -Front-End Development: Proficiency in HTML, CSS, JavaScript, and modern front-end frameworks such as React, Angular, or Vue.js. -Back-End Development: Strong experience with server-side languages such as Node.js, Python, or Ruby on Rails. -Database Management: Expertise in working with SQL and NoSQL databases like MySQL, PostgreSQL, MongoDB, or Firebase. -API Development: Experience in designing and developing RESTful and GraphQL APIs. -Familiarity with Cloud services (AWS, Azure, or Google Cloud). -Version Control: Proficiency with Git and GitHub/Git Additional Information: - A 15 years full time education is required.