Architect - Machine Learning - GenAI

Quantiphi, Inc.; Bengaluru, Thiruvananthapuram, Mumbai; On-site; INR 4,000,000 - 6,800,000; Full time

Job summary

Quantiphi, Inc. is seeking an Architect - Machine Learning (GenAI) in Bengaluru. The candidate will lead design and delivery of cloud-based ML solutions using AWS, Sagemaker, and GenAI frameworks.

Deep knowledge of LLMs, RAG architectures, vector indexing, and NLP techniques is essential. 12+ years of hands-on experience and strong collaboration with cross-functional teams are required. The role focuses on end-to-end ML solution architecture, model deployment, retraining, and integration with

Qualifications

• Must have 12+ years of hands-on experience in architecting cloud ML solutions on AWS.
• Experience with Sagemaker, LangChain, and GenAI frameworks.
• Hands-on experience fine-tuning large language models (LLMs) and Generative AI (GAI).
• Experience with RAG, vector search (OpenSearch/Elasticsearch) and NLP techniques.

Skills

AWS Sagemaker

LangChain

GenAI frameworks

LLM fine-tuning

RAG architecture

Vector search

Transformers

Prompt engineering

Model evaluation

NLP techniques

Architecture design

Workflow tools

AWS services

Job description

Architect - Machine Learning - GenAISkip to main contentThis website stores cookies on your computer. These cookies are used to collect information about how you interact with our website and allow us to remember you. We use this information in order to improve and customize your browsing experience and for analytics and metrics about our visitors both on this website and other media. To find out more about the cookies we use, see our Privacy Policy https://quantiphi.com/cookies/. If you decline, your information won’t be tracked when you visit this website. A single cookie will be used in your browser to remember your preference not to be tracked# CareersArchitect - Machine Learning - GenAI page is loaded## Architect - Machine Learning - GenAIApplylocations: IN KA Bengaluru: IN KL Trivandrum: IN MH Mumbai Eurekatime type: Full timeposted on: Posted Todayjob requisition id: JR8674While 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.* Good 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.* 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 over-achievers, you'll enjoy your career with us**!*