Machine Learning Architect
QuantiphiCanada7 days ago
Job type
- Full-time
Job descriptionLead 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. 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
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
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