Current jobs related to CoverRight - AI/ML Engineer - Toronto, Ontario - 43North
-
Network Engineer, AI/ML Infrastructure
1 week ago
Toronto, Ontario, Canada Boson AI Full timeAbout The Role We're seeking an experienced Network Engineer to design, build, and optimize the high-performance networking infrastructure powering our AI/ML operations in Toronto. You'll work at the cutting edge of network technology—managing InfiniBand and ultra-high-speed Ethernet fabrics that connect NVIDIA H100 and A100 GPUs, over 20PB of Ceph...
-
Network Engineer, AI/ML Infrastructure
2 weeks ago
Toronto, Ontario, Canada Boson AI Full time US$150,000 - US$250,000About The RoleWe're seeking an experienced Network Engineer to design, build, and optimize the high-performance networking infrastructure powering our AI/ML operations in Toronto. You'll work at the cutting edge of network technology—managing InfiniBand and ultra-high-speed Ethernet fabrics that connect NVIDIA H100 and A100 GPUs, over 20PB of Ceph storage,...
-
AI/ML Engineer
18 hours ago
Toronto, Ontario, Canada Infoya Full timeSeeking a highly skilled and motivated AI/ML Engineer with expertise in Machine Learning, Statistics, and Generative AI to join our team. The ideal candidate will have extensive experience in building and productionizing data science/GenAI use cases and a strong understanding of ML Ops and Cloud-based ML orchestration services.As an AI/ML Engineer,...
-
AI/ML Engineer
1 week ago
Toronto, Ontario, Canada Confiar Services LLC Full timeJob Title: AI/ML EngineerLocation: Toronto, CanadaDuration: Long Term ContractKey ResponsibilitiesDevelop and maintain Python applications using MCP (Model Context Protocol).Integrate MCP with AI/ML models, APIs, and data pipelines.Build scalable real-time and batch AI workflow services.Work with data scientists/ML engineers to deliver AI-driven...
-
AI/ML Engineer
1 week ago
Toronto, Ontario, Canada Stacktics Full timeStacktics Inc is seeking a highly skilled and hands-on AI Engineer with proven experience in deploying AI/ML models on Google Cloud Platform (GCP), particularly using Vertex AI.The successful candidate will design, develop, and deploy AI-driven solutions that leverage data science, predictive modeling, and generative AI to solve complex business...
-
AI/ML Engineer
1 week ago
Toronto, Ontario, Canada The Vanguard Group Full timeVanguard is seeking a talented and motivated AI/ML Engineer to join our team in building agentic systems for IT operations and resilience checking. This role is ideal for early-career professionals who are passionate about AI, autonomous agents, and advanced machine learning techniques. You will work alongside senior data scientists and engineers to develop...
-
Senior AI/ML Engineer
5 days ago
Toronto, Ontario, Canada Okta Full timeGet to know OktaOkta is The World's Identity Company. We free everyone to safely use any technology, anywhere, on any device or app. Our flexible and neutral products, Okta Platform and Auth0 Platform, provide secure access, authentication, and automation, placing identity at the core of business security and growth.At Okta, we celebrate a variety of...
-
Senior AI/ML Engineer
3 days ago
Toronto, Ontario, Canada The Vanguard Group Full timeVanguard's Corporate Services - CAI department is seeking a Senior AI/ML Engineer to design and deliver scalable machine learning infrastructure and pipelines that enable experimentation, deployment, and monitoring of AI/ML models across the enterprise.This role is ideal for someone with deep technical expertise in building production-grade ML systems and a...
-
Backend & Applied AI/ML Engineer
2 weeks ago
Toronto, Ontario, Canada eBay Full timeAt eBay, we're more than a global ecommerce leader — we're changing the way the world shops and sells. Our platform empowers millions of buyers and sellers in more than 190 markets around the world. We're committed to pushing boundaries and leaving our mark as we reinvent the future of ecommerce for enthusiasts.Our customers are our compass, authenticity...
-
HPC Engineer, AI/ML Infrastructure
2 weeks ago
Toronto, Ontario, Canada Boson AI Full time US$150,000 - US$250,000About The RoleWe're looking for a Senior High Performance Computing Engineer to help us run one of the most exciting GPU clusters around—our Toronto datacenter packed with NVIDIA H100 and A100 GPUs, over 20PB of Ceph storage, terabit networking, and hundreds of servers.You'll be hands-on with the full lifecycle of HPC infrastructure: planning, building,...
CoverRight - AI/ML Engineer
3 weeks ago
CoverRight is on a mission to make Medicare, and retiree health-related-finances transparent and accessible. We're building technology to empower older adults to confidently navigate their healthcare options through personalized guidance and modern digital experiences. We're a fast-growing, venture-backed company blending human expertise with AI-driven technology to transform how people make critical healthcare decisions.
About the Role
We're seeking a versatile AI/ML Engineer to design, develop, and deploy both Generative AI and traditional machine learning solutions that power CoverRight's products and operations. This is a highly cross-functional role where you'll work closely with the Head of Product & Engineering, as well as our data and operations teams, to bring intelligence and automation to every part of the business. You'll help shape the foundation of how AI is used across the company — from personalized recommendations and lead optimization to intelligent voice/chat agents and knowledge retrieval systems.
What You'll Do
Generative AI & Applied NLPDesign, prototype, and deploy LLM-based applications for conversational agents, knowledge retrieval, and automation.Build retrieval-augmented generation (RAG) systems using vector databases and embedding models to surface accurate, context-aware responses.Fine-tune or prompt-engineer LLMs (e.g., OpenAI, Anthropic, Mistral, etc.) for specific CoverRight use cases.Develop tools to summarize documents, extract structured data, and assist internal teams with AI copilots.
Traditional ML & Data ScienceDevelop and maintain predictive models to optimize lead scoring, conversion prediction, and customer engagement.Build, test, and deploy classification, regression, and clustering models to drive product and operational insights.Design scalable data pipelines for training, evaluation, and monitoring of ML models in production.Partner with stakeholders to define metrics, improve data quality, and translate business problems into ML solutions.
Engineering & InfrastructureImplement APIs and backend services to integrate AI/ML models into product experiences.Maintain and monitor deployed models for performance, drift, and reliability.Evaluate emerging AI/ML tools, frameworks, and platforms to continuously improve our stack.Ensure data privacy, security, and compliance with HIPAA and PHI handling requirements.
What You'll Bring3+ years of hands-on experience in AI/ML engineering, applied ML, or data science.Proficiency in Python and ML frameworks such as PyTorch, TensorFlow, or scikit-learn.Strong experience with modern Generative AI tools (OpenAI API, LangChain, Hugging Face, or similar).Understanding of embeddings, vector databases (e.g., Pinecone, Weaviate, FAISS), and RAG architectures.Experience with building and deploying ML models on AWS, GCP, or Azure.Familiarity with data orchestration tools (Airflow, Prefect) and version control (Git).Knowledge of data warehousing, feature stores, and model monitoring best practices.Excellent communication skills — able to bridge technical depth with business understanding.(Bonus) Experience working with healthcare or insurance data, including HIPAA compliance considerations.
Why Join CoverRightBuild AI systems that make finances and healthcare more human, transparent, and personalized.Shape the future of a growing AI-driven healthtech company.Work with a smart, mission-driven, and collaborative team.Competitive salary, equity, and benefits package.Remote-first environment with flexible hours and strong ownership culture.
Location This role can be done remotely from the U.S. or Canada.Preference for candidates who are based in one of our key hubs: NYC, Buffalo, or Toronto Our team operates on Eastern Time (EST), so availability during core business hours is important
