Generative AI Developer - LLM Models

Generative AI Architect

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 team.

Responsibilities :

- 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 development.

Requirements :

- 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.