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.
* Valuable 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 a