Description
As a Generative AI Engineer, you will be responsible for developing and implementing cutting-edge
generative AI models to solve complex problems. You will work closely with various stakeholders to design,
build, and deploy AI-powered solutions that enhance ABG products and services.
Key Roles And Responsibilities
- Define, build and deploy enterprise focused Generative AI solutions on Microsoft Azure cloud
services.
- Comfortable working in the cloud and high-performance computing environments -Azure/ GCP.
- Utilize off-the-shelf Azure (OpenAI) services, to integrate LLM capabilities into applications, and
collaborate with the business and IT teams.
- Create, Modify and deploying code libraries, accelerators (GitHub) programming languages such as
Python, R.
- Build Rapid prototypes and do proof of concepts (PoC) in one or all the following areas: LLM, NLP, DL
(Deep Learning), ML (Machine Learning), object detection / classification, tracking, etc.
- Apply prompt-engineering techniques to specific use cases and types of models.
- Stay informed about the latest advancements in Gen AI, machine learning, and AI technologies to
optimize our technical stack.
- Co-ordinate for Tech Support and Continuous improvements
Skills Required
- The ideal candidate will have a strong background in generative AI and experience working with LLM
(Large Language Models) in particular.
- 2-3yrs experience with AI technology and Azure cloud services, Cognitive services (AI, ML, LLM,
algorithm), Python, NLP, Generative AI.
- Strong understanding of Open AI (Chat GPT, GPT, Chatbot)
- Better understanding on fine-tuning with Azure OpenAI distributed OpenAI models such as DaVinci,
curie, Babbage, ADA.
- You are proficient in Python and have experience with various machine learning libraries and
frameworks with necessary Azure cloud experience of configurations, troubleshooting etc.
- Good communication skills and basic customer mgmt
