Associate Technical Architect - Machine Learning

Job Description

Associate Technical Architect - Machine Learning

Quantiphi, Inc.

Remote

Estimated pay: $66.25 - $80/hr

Business & Productivity Software

Full-time

Posted 6 hours ago

Job Description

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.

Discover more

Business & Productivity Software

Machine Learning

machine learning

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).

We Have Been Recognized With

Machine Learning & Artificial Intelligence

• 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)

Business & Productivity Software

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

Machine Learning & Artificial Intelligence

• 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.