Associate Architect - Machine Learning

Quantiphi, Inc.; Bengaluru, Thiruvananthapuram, Mumbai; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

Quantiphi, Inc. is seeking an Associate Architect - Machine Learning with significant experience in AWS. The ideal candidate will have a strong background in developing cloud-based ML solutions, especially using AWS Machine Learning services and Generative AI frameworks.

The position requires collaboration with various teams and a focus on designing software architecture for model deployment. If you thrive in a fast-paced environment and are passionate about innovation, we encourage you to apply!

Qualifications

• 7-13 years of experience in implementing cloud ML solutions on AWS.
• Hands-on experience with AWS Machine Learning services and Sagemaker.
• Experience in developing applications with LLMs and Generative AI.

Responsibilities

• Implement and develop ML solutions using AWS.
• Design software architecture for model training and deployment.
• Collaborate with cross-functional teams to understand requirements.

Skills

AWS Machine Learning services

LLMs with Langchain

GenAI frameworks (AWS Bedrock, OpenAI)

Fine-tuning LLMs

RAG architecture and vector indexing

Deep Learning Concepts

NLP techniques

Prompt Engineering

Model Evaluation & Optimization

Tools

AWS Sagemaker

OpenAI tools

Airflow

Kubeflow

Job description

## Associate Architect - Machine LearningApplylocations: IN KA Bengaluru: IN KL Trivandrum: IN MH Mumbai Eurekatime type: Full timeposted on: Posted 8 Days Agojob requisition id: JR8447While 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 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**!*