Posted: 5 hours ago
Job Description
<p><strong>Location: </strong>Canada (Preferably Toronto) Full-Time In-House Leadership Role</p><p><br></p><p>We are expanding our elite Data, AI/ML engineering practice and looking for an outstanding Senior/Lead Data & AI Engineer to join the Prospect 33 core team.</p><p> </p><p>This role is based in Canada with a strong preference for Greater Toronto. Exceptional candidates from Vancouver, Montreal, or other Canadian cities will also be considered.</p><p><br></p><p>You will be a pivotal member of P33, leading transformative projects for many of the world's largest and most sophisticated banks and asset managers. This is real ownership inside our firm - you'll architect solutions end-to-end, set technical direction, and deliver AI systems that directly influence global investment research, trading, sales, and risk.</p><p><br></p><p><strong>What You'll Do</strong></p><ol><li>Build and productionize next-gen data products and alpha-generating AI signals using traditional + alternative data at massive scale.</li><li>Own end-to-end Data & ML pipelines (ingestion feature stores training/tuning low-latency inference) that power live trading and research platforms.</li><li>Lead distributed-systems optimization: profile Spark/Databricks workloads, crush latency and cost inefficiencies, and establish firm-wide best practices.</li><li>Champion modern MLOps and Generative AI adoption (CI/CD, IaC, MLflow, LLM orchestration, agents, RAG).</li><li>Mentor rising talent and represent Prospect 33 technically to C-suite stakeholders at top-tier global financial institutions.</li></ol><p><br></p><p><strong>Must-Have</strong></p><ul><li>Expert-level Python, SQL, PySpark, MLflow in production at scale</li><li>Master's Degree in Computer Science, Engineering, or equivalent</li><li>Deep mastery of algorithms, data structures, and distributed/parallel computing</li><li>Proven history of shipping complete, battle-tested Data & ML pipelines from zero to production</li></ul><p><br></p><p><strong>Strong Advantages</strong></p><ul><li>PhD</li><li>Azure Databricks, Snowflake, Kubernetes, Terraform</li><li>Hands-on Generative AI experience (LLMs, RAG, agents, MCP servers, prompt engineering)</li><li>Capital markets domain exposure (research, trading, risk, alternative data)</li></ul><p><br></p><p><strong>Why Prospect 33 -</strong> <em>P33.ai</em></p><ul><li>Permanent, high-impact role on our core team - not a client bench</li><li>Collaborate seamlessly with our Toronto, New York, London, and Dublin hubs</li><li>Ranked one of the top employers in financial technology (check Glassdoor and beyond)</li><li>Comprehensive Canadian benefits: top-tier health & dental, generous RRSP matching, PTO, learning budget, commuter support, wellness perks, and more</li><li>Great salary range (depending on experience and location) + performance bonus + equity in Prospect 33</li></ul><p><br></p><p>If you thrive on large-scale, complex domain problems and love watching your models move real markets, we want you leading the charge with us in Canada.</p><p><br></p><p>Send your resume + a quick note about the most ambitious data/AI system you've built to with subject "Data & AI Engineer - Canada (Toronto preferred)".</p><p><br></p><p>Prospect 33 - Elite engineering. Capital markets focus. Canadian momentum. </p><p>Come build the future of finance with us.</p>Create Your Resume First
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