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Associate Technical Architect - Machine Learning
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- United States
- United States
Über
Associate Technical Architect - Machine Learning at Quantiphi, Inc. Remote. Estimated pay: $66.25 - $80/hr. Full-time. Posted 6 hours ago. About Quantiphi
Quantiphi is an award-winning, AI-First digital engineering and consulting company. Founded in 2013. Headquartered in Boston, global organization with 4,000+ professionals. Elite and Premier partner to leading cloud and AI platforms (NVIDIA, Google Cloud, AWS, and Snowflake). Recognitions
3x AWS AI/ML award wins. 3x NVIDIA Partner of the Year title. Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group. Certified as a Great Place to Work for three years in a row - 2021, 2022, 2023. Role
Associate Architect - Machine Learning Experience Level
7+ years Employment type
Full Time Location
Remote (USA/Canada) Description
As an Associate 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 hands-on technical experience implementing, and developing cloud ML solutions on AWS. Hands-on experience on AWS Machine Learning services using AWS Sagemaker. Natural Language Processing
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. 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. Integrate agentic workflows with LLMs (Titan, Nova, Cohere, Claude, etc.) via Bedrock. 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 skills. 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. 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 world's fastest-growing AI-first digital engineering companies. Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology. Work where innovation happens. Stay ahead of the curve.
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Sprachkenntnisse
- English
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