Quantiphi
AssociateArchitect-MachineLearning
Neural analysis suggests this role is
optimal for Senior candidates.
“Associate Architect - Machine Learning at Quantiphi. Skills: Machine Learning, AWS, Generative AI, LLMs. Implement cloud ML solutions on AWS. Develop applications using LLMs”
Industry & Context.
Model Evaluation; Model Optimization
What They're Looking For.
Must Have
8+ years technical experience, Hands-on AWS ML services, Experience using AWS SageMaker, Experience developing applications using LLMs, Experience using GenAI frameworks, Hands-on experience fine-tuning LLMs, Hands-on experience with RAG architecture, Experience using vector indexing, Experience with Deep Learning Concepts, Experience with NLP techniques, Design software architecture, Experience with workflow orchestration tools, Knowledge of machine learning techniques
Nice to Have
Experience in Edtech domain, Experience with software development
What You'll Do.
Implement cloud ML solutions on AWS
Develop applications using LLMs
Fine-tune large language models
Work with RAG architecture
Optimize few-shot techniques
Evaluate LLM capabilities
Fine-tune hyperparameters
Ensure task generalization
Explore model interpretability
Leverage LLM's pre-trained potential
Deliver contextually appropriate responses
Design software architecture
Create end to end solution architecture
Collaborate with cross-functional teams
Understand requirements
How You'll Work.
Team & Collaboration
Cross-functional teams; Developers; QA; Project Managers; Stakeholders
Full Job 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 (AWS)**** ****Experience : 7 - 13 Years**** ****Location : Bangalore**** ****Must have skills:**** * 8+ 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
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