Machine Learning Architect jobs in United States
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Quantiphi · 1 day ago

Machine Learning Architect

Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact services and solutions. The Machine Learning Architect will be responsible for designing and developing advanced machine learning models and algorithms to solve complex business problems, optimizing and deploying these models on AWS infrastructure.

Artificial Intelligence (AI)Cloud Data ServicesInsurTechMachine LearningSoftware
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Growth Opportunities
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H1B Sponsor Likelynote

Responsibilities

Design and develop advanced machine learning models and algorithms to solve complex business problems
Optimize and deploy these models on AWS infrastructure, ensuring scalability and reliability
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 high-availability and multi-model support
Evaluate LLM's zero-shot and few-shot capabilities, fine-tuning hyperparameters, ensuring task generalization, and exploring model interpretability for robust web app integration
Implement secure, scalable APIs and integrate with 3rd-party data sources and tools
Collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions

Qualification

AWS Machine LearningNatural Language ProcessingAgentic AIPythonDeep LearningModel EvaluationWorkflow OrchestrationSoftware DevelopmentEdtech ExperienceCollaboration

Required

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
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
Design and implement agentic AI architectures using frameworks such as LangChain or Amazon Bedrock Agents, enabling autonomous task planning, decision-making, and multi-step 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 high-availability and multi-model support
Must have Hands-on experience fine-tuning 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 zero-shot and few-shot capabilities, fine-tuning 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 3rd-party data sources and tools
Ability to collaborate with cross-functional teams such as Developers, QA, Project Managers, and other stakeholders to understand their requirements and implement solutions

Preferred

Experience of working for customers/workloads in the Edtech domain with use cases
Experience with software development

Company

Quantiphi

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Quantiphi is a digital engineering company that provides data science and machine learning software and services.

H1B Sponsorship

Quantiphi has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (45)
2024 (65)
2023 (45)
2022 (94)
2021 (71)
2020 (46)

Funding

Current Stage
Late Stage
Total Funding
$23.41M
Key Investors
Multiples
2019-12-19Series A· $20M
2018-09-13Series Unknown· $3.41M

Leadership Team

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Asif Hasan
Co-Founder
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Ritesh Patel
Co-Founder
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Company data provided by crunchbase