Generative AI Developer - LLM Models

Job Description

Generative AI Architect Skills We are seeking a dynamic and experienced Generative AI Architect to lead cutting-edge projects in the ML and GenAI space. The ideal candidate will play a pivotal role in business development, solution design, and application development, with a strong focus on leveraging Generative AI and LLM technologies. This position demands expertise in creating innovative solutions, hands-on technical skills, and the ability to guide and grow a talented : Act as a thought leader in the Generative AI space. Independently conceptualize and develop demos, POCs, and accelerators. Drive end-to-end business development activities in the ML & GenAI domain. Build and scale a team of data scientists and app developers. Be an individual contributor, solving real-world problems using LLMs and GenAI technologies. Develop and deploy applications with Python as the backend for UI-based solutions. Design, test, and deploy data analytics pipelines using Python and SQL on Azure/AWS/GCP platforms. Author high-level and low-level design documents (HLD/LLD) and technical specifications. Implement web technologies with hands-on experience in Python frameworks such as Flask, FastAPI, or Django. Utilize frontend technologies like HTML, JavaScript, and React to support application : Bachelor's Degree (preferred Computer Science/IT) in advanced analytics or ML, or Master's in Machine Learning, Statistics, Econometrics, or a related field with 6+ years of experience. Experience in designing and architecting ML-based solutions on Azure/AWS/GCP. Deep expertise in Generative AI, LLMs, and GPT technologies. Strong understanding of web architecture and development. Stay updated on industry trends, emerging technologies, and best practices in Gen AI & Data Science. Proficiency in Generative AI/LLM technologies. Hands-on experience with Python and SQL for backend development. Expertise in Python web frameworks like Flask, FastAPI, or Django. Familiarity with frontend technologies (HTML, JavaScript, React). Strong software development background with cloud experience on Azure/AWS platforms. Experience with version control systems such as Git. Exposure to DevOps culture with hands-on experience in Jenkins for CI/CD would be an added advantage. Knowledge on containerization utilizing Docker and Kubernetes will be added advantage. (ref:hirist.tech) Show more Show less