Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AIdriving measurable outcomes at the very core of their operations. Since our founding in 2013, Quantiphi has tackled some of the worlds most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business valuenot just technology for technologys sake. Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: 3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year titles. Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms. We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators. We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team thats shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! Experience Level: 7+ years Employment type: Full Time Location: Remote - Canada Description As an Architect - Machine Learning Engineer at Quantiphi, you will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems. You will work on optimizing and deploying these models on AWS infrastructure, ensuring scalability and reliability. Must have skills 7+ 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. Natural Language Processing Should have experience with Deep Learning Concepts - Transformers, BERT, Attention models. Strong programming skills in Python and experience with NLP libraries such as Hugging Face Transformers, SpaCy, NLTK, or Stanford NLP. Strong understanding of NLP concepts: tokenization, embeddings, syntactic and semantic parsing, named entity recognition, and coreference. Agentic AI Design and implement agentic AI architectures using frameworks such as LangChain or Amazon Bedrock Agents, enabling autonomous task planning, decisionmaking, and multistep reasoning. Architect and deploy scalable AI solutions on AWS, leveraging services like Lambda, Bedrock, Step Functions, S3, API Gateway, and SageMaker. Develop and maintain Model Context Protocol (MCP) implementations to manage state, context windows, memory, and prompt orchestration across distributed agent systems. Integrate agentic workflows with LLMs (Titan, Nova, Cohere, Claude, etc.) via Bedrock, ensuring highavailability and multimodel support. Must have Handson experience finetuning large language models( LLM) and Generative AI (GAI), specifically LLama2. Familiarity with LLM tool use, prompt templating, vector stores (e.g., Opensearch, Pinecone, Elasticsearch, Bedrock KB), and context management. Model Evaluation & Optimization: Evaluate LLM''''s zeroshot and fewshot capabilities, finetuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration. Experience with at least one of the workflow orchestration tools, Airflow, StepFunctions, SageMaker Pipelines, Kubeflow etc. Experience implementing secure, scalable APIs and integrating with 3rdparty data sources and tools. Ability to collaborate with crossfunctional 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. What is in it for you Make an impact at one of the worlds fastestgrowing AIfirst digital engineering companies. Upskill and discover your potential as you solve complex challenges in cuttingedge areas of technology alongside passionate, talented colleagues. Work where innovation happens - work with disruptive innovators in a researchfocused organization with 60+ patents filed across various disciplines. Stay ahead of the curveimmerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies. #J-18808-Ljbffr
Job Title
Architect - Machine Learning