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Quantiphi

Associate Architect - Machine Learning (AWS)

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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 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 vertexAI, OpenAI, AWS Bedrock.

  • 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 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 over-achievers, you'll enjoy your career with us!

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