Machine Learning Architect

2 months ago


Canada, CA Quantiphi Full time

About Us:

Quantiphi is an award-winning Applied AI and Big Data software and services company, driven by a deep desire to solve transformational problems at the heart of businesses. Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed.


Company Highlights:

  • Delivered 2.5x growth YoY since its inception in 2013
  • Headquartered in Boston, with 4000+ Quantiphi professionals across the globe
  • Great Places to Work certified for 2 consecutive years- 2022, 2021
  • Recognized by Everest Group as Specialist Leader and Star Performer in Analytics and AI Services, 2022
  • Recognized as an AIFinTech100 Company, 2022 by InsurTech
  • Winner of Best in Business Award in Established Business category by INC., 2022
  • Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Healthcare by Frost & Sullivan, 2022
  • Recognized in Gartner Hype Cycle Reports for AI Strategy, 2022
  • Winner of 2021 Google Cloud Breakthrough Partner of the Year- North America
  • Winner of 2021 AWS Canada Rising Star of the Year
  • Recognized as Leader in IDC MarketScape: WorldWide AI IT Services, 2021
  • Recognized in the Fast Company 2021 World Changing Ideas- AI and Data category
  • Winner of NVIDIA's Americas Service Delivery Partner of the Year, 2021


Job Description:


Role & Responsibilities:

  • Lead AI/ML Initiatives: Drive key AI and ML projects leveraging AWS Bedrock, Amazon Q, and
  • Quicksight to support internal departments, including actuarial and finance teams.
  • ML Architecture Design: Design and develop scalable ML architectures that integrate LLMs (Large Language Models) with AWS Kendra for advanced document retrieval, and implement RAG
  • (Retrieval-Augmented Generation) for handling complex files.
  • Team Leadership & Development: Build and mentor a high-performing AI/ML team, focusing on internal capability building while backfilling key roles as necessary.
  • Chatbot Development: Lead the deployment of chatbots like "Sun Life Asks" for internal document queries, ensuring sophisticated handling of complex files.
  • Data Analytics & Dashboards: Use Amazon Q and Quicksight to develop AI-powered dashboards that provide insights for actuarial and finance teams, enhancing data-driven decision-making.
  • Collaboration with Stakeholders: Partner with cross-functional teams to design AI/ML solutions tailored to business needs, including actuarial and finance departments.
  • Troubleshoot & Innovate: Address technical challenges related to the integration of AWS Bedrock LLMs with Amazon Kendra and other AI/ML services, focusing on real-time, scalable solutions.
  • Stay Current: Stay updated with cutting-edge advancements in the Gen AI and ML domains,
  • particularly within the AWS ecosystem, and ensure best practices are applied.


Required Skills:

  • Eligibility for Reliability Security Clearance
  • Bachelor’s or Master’s degree in Computer Science, Data Science, Machine Learning, Artificial
  • Intelligence, or a related technical field
  • Minimum of 5+ years of experience in Machine Learning, AI, or related fields
  • Proven expertise in AWS AI/ML tools: Bedrock, Amazon Q, Quicksight, Kendra
  • Experience with LLM (Large Language Model) integration, including hands-on experience with RAG for document retrieval
  • Experience with Natural Language Processing (NLP) and chatbot development
  • Strong background in developing ML architectures that scale to meet business needs
  • Advanced proficiency in Python, SQL, and AI/ML frameworks such as TensorFlow, PyTorch, or
  • Hugging Face.
  • In-depth knowledge of AWS services like SageMaker, Lambda, and Redshift.
  • Familiarity with DevOps for AI/ML models, including monitoring and scaling ML models in production environments.
  • Strong problem-solving skills and the ability to translate business challenges into technical solutions



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