Associate Architect - Bengaluru, Karnataka, India - Quantiphi

Quantiphi

Verified Company

Bengaluru, Karnataka, India

3 weeks ago

Posted by:

Deepika Kaur

beBee Recuiter

Description

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:
Associate Architect - Machine Learning

Experience: 6 to 9 Years

Location:
Mumbai/Bangalore/Trivandrum

Must have skills:

6+ years of relevant handson technical experience implementing, and developing cloud ML solutions on AWS. Handson experience on AWS Machine Learning services. Proven experience using AWS Sagemaker leveraging different types of data sources, Training jobs, realtime and batch Inference, and Processing Jobs. Must have experience using GenAI frameworks such as vertexAI, OpenAI, AWS Bedrock. Must have Handson experience finetuning large language models( LLM) and Generative AI (GAI), specifically LLama Must have Handson 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 optimize 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.- Implement and manage MLOps principles and best practices for Gen AI models- Thorough understanding of NLP techniques for text representation and modeling- Able to effectively design software architecture as required- Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc.

Knowledge of a variety of machine learning techniques (Supervised/unsupervised etc.) (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks- Ability to create end to end solution architecture for model training, deployment and retraining using native AWS services such as Sagemaker, Lambda functions, etc.- Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions.

Good to have skills:

Experience of working for customers/workloads in the Edtech domain with use cases.
Experience with software development
If you like wild growth and working with happy, enthusiastic overachievers, you'll enjoy your career with us__