Machine Learning Architect
2 months ago
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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