While technology is the heart of our business, a global and diverse culture is the heart of our success. We love our people and we take pride in catering them to a culture built on transparency, diversity, integrity, learning and growth.
If working in an environment that encourages you to innovate and excel, not just in professional but personal life, interests you- you would enjoy your career with Quantiphi
Role : Architect - Machine Learning (AWS)
Experience : 12 - 15 Years
Location : Bangalore
Must have skills:
- 12+ years of relevant hands-on technical experience implementing, and developing cloud ML solutions on AWS.
- Hands-on experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, real-time and batch Inference, and Processing Jobs.
- Positive Experience developing applications using LLMs with Langchain.
- Must have experience using GenAI frameworks such as AWS Bedrock, OpenAI.
- Must have Hands-on experience fine-tuning large language models( LLM) and Generative AI (GAI),
specifically LLama2.
- Must have Hands-on experience working with (Retrieval Augmented Generation) RAG architecture and experience using vector indexing such as Opensearch, Elasticsearch.
- Strong familiarity with higher-level trends in LLMs and open-source platforms.
- Should have experience with Deep Learning Concepts. Transformers, BERT, Attention models
- Prompt Engineering: Engineer prompts and optimizes few-shot techniques to enhance LLM's performance on specific tasks, e.g. personalized recommendations.
- Model Evaluation & Optimization: Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration.
- Response Quality: Collaborate with ML and Integration engineers to leverage LLM's pre-trained potential, delivering contextually appropriate responses in a user-friendly web app.
- Thoroug