Data Science and AI Engineering Lead
7 days ago
Quantiphi is a leading Applied AI and Big Data software and services company, renowned for its innovative approach to solving complex business problems.
We combine cutting-edge machine learning research with disciplined cloud and data engineering practices to deliver transformative results at unprecedented speed.
Some of our key highlights include:
- Consistent 2.5x growth YoY since our inception in 2013
- A global presence with 4000+ professionals across the globe
- Certified as a Great Place to Work for two consecutive years (2022, 2021)
- Recognized as a Specialist Leader and Star Performer in Analytics and AI Services by Everest Group (2022)
- Awarded Best in Business in Established Business category by INC. (2022)
- Winner of Competitive Strategy Leadership Award in Artificial Intelligence Services in Healthcare by Frost & Sullivan (2022)
- Featured in Gartner Hype Cycle Reports for AI Strategy (2022)
- Recipient of Google Cloud Breakthrough Partner of the Year - North America (2021)
- Winner of AWS Canada Rising Star of the Year (2021)
- Leader in IDC MarketScape: Worldwide AI IT Services (2021)
- Recognized in Fast Company's World Changing Ideas - AI and Data category (2021)
- NVIDIA's Americas Service Delivery Partner of the Year (2021)
- Lead AI/ML Initiatives: Drive strategic AI and ML projects leveraging AWS Bedrock, Amazon Q, and Quicksight to support internal departments, including actuarial and finance teams.
- Design Scalable ML Architectures: Develop highly scalable ML architectures that integrate LLMs with AWS Kendra for advanced document retrieval and implement RAG 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 providing insights for actuarial and finance teams, enhancing data-driven decision-making.
- Cross-Functional Collaboration: Partner with stakeholders 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 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 field
- Minimum 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 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 ability to translate business challenges into technical solutions
We offer an estimated annual salary range of $170,000 - $220,000 based on industry standards, location, and relevant experience.
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