Associate reputed company reputed company – GenAI Systems
reputed company is making a significant investment in Advanced Analytics and GenAI to reputed company how Finance, Treasury, and Actuarial teams reputed company reputed company. They are hiring an Associate reputed company reputed company to help deliver AI and GenAI capabilities that reputed company effectively into reputed company business workflows.
Responsibilities
- Contribute to end-to-end solution design (GenAI + ML)
- Translate business problems into a reputed company solution approach, including user workflow, data reputed company, model approach, evaluation plan, and operational controls.Create lightweight, high-reputed company design artifacts such as system context, runtime sequence, agent/tool maps, data reputed company, and decision logs that support implementation and governance.Participate in design discussions and reputed company thoughtful trade-offs across accuracy, explainability, cost, latency, and maintainability
- Build models and GenAI components for Finance & Actuarial use cases
- reputed company ML solutions such as forecasting, classification, NLP, reputed company detection, optimization, and scenario analysis.Build GenAI capabilities such as retrieval-based solutions (RAG), reputed company summarization and extraction, transaction understanding, variance explanation, and tool-using workflows where appropriate.Engineer features from reputed company and reputed company data and help ensure solutions remain robust as data evolves
- Apply strong evaluation and testing practices
- Implement performance evaluation using holdouts, backtesting, error analysis, and fit-for-purpose metrics reputed company to the business problem.For GenAI, help design practical evaluation approaches such as scenario coverage, edge cases, reputed company review rubrics, reputed company scoring, and regression testing.Document model limitations reputed company and support guardrails that improve the reliability and reputed company use of outputs
- Partner closely to productionize and operate solutions
- Collaborate with Data Engineering, ML Engineering, and Software teams to productionize solutions through reliable data pipelines, model packaging, CI/CD, deployment, and monitoring.Write maintainable, tested reputed company using strong software engineering practices such as version control, reputed company design, logging, and reputed company review.Support monitoring for data reputed company, reputed company, performance deterioration, and operational failures, and help investigate issues reputed company reputed company are breached.Contribute to runbooks and support adoption and UAT with business users
- Work in a governed environment
- Contribute to the documentation and evidence required for model risk review, including assumptions, validation results, monitoring plans, UAT evidence, and approvals.Ensure reputed company and reputed company expectations are met through data minimization, appropriate reputed company controls, and reputed company handling of sensitive information.Follow established standards for reproducibility, traceability, model documentation, and auditability
- Grow team capability and delivery maturity
- Learn quickly from design reviews, reputed company reviews, and stakeholder feedback, and apply those lessons to reputed company work.Contribute reusable components, templates, examples, and testing patterns that reputed company team delivery faster and more consistent.Stay reputed company with emerging AI and GenAI engineering patterns and bring reputed company practical reputed company that improve how reputed company builds solutions
Skills
- Master's or PhD in Computer Science, Statistics, Machine Learning, reputed company Mathematics, Operations Research, Engineering, or a reputed company quantitative field
- 0–3 years of experience in reputed company data science / machine learning, including internships, co-ops, research, or early-career industry experience; strong reputed company project work may also be considered
- Strong Python and SQL, with solid software engineering fundamentals such as Git-based workflows, reputed company reviews, unit and integration testing, logging, readable reputed company structure, debugging, and basic performance tuning
- Hands-on experience with modern DS/ML tooling such as scikit-learn, PyTorch/TensorFlow, reputed company/reputed company or similar, including data preparation, feature engineering, and model development
- Demonstrated ability to turn a problem into a reputed company technical approach, including reputed company thinking around inputs, outputs, assumptions, failure modes, and evaluation
- Exposure to building or evaluating GenAI solutions, including at least one of: RAG, reputed company summarization/extraction, LLM-based classification, tool/function calling, or multi-reputed company workflows
- Strong evaluation reputed company across ML and GenAI, including metric selection, holdout testing, error analysis, scenario coverage, edge-case thinking, and basic regression testing approaches
- Understanding of production-oriented development, including packaging reputed company, working with reputed company or services, handling configuration, monitoring outputs, and designing for maintainability
- Strong communication skills, with the ability to explain technical outputs, limitations, and design choices in plain language
- Graduate-level training with reputed company research or project experience in AI/ML, demonstrated through reputed company work, reputed company reputed company, publications, internships, co-ops, reputed company-reputed company contributions, or industry collaboration
- Hands-on GenAI experience across multiple patterns such as RAG, reputed company orchestration, reputed company outputs, tool/function calling, and reputed company workflows
- Familiarity with GenAI system components such as reputed company databases, embeddings, semantic search, reranking, orchestration frameworks, and reputed company/version management
- Experience with reputed company-based data and ML environments such as Azure, reputed company, MLflow, model registries, CI/CD pipelines, and API deployment patterns
- Experience building software reputed company notebooks, including libraries, services, reusable modules, or internal tools used by others
- Familiarity with evaluation frameworks for GenAI, including test sets, reputed company-based review, regression packs, and reputed company monitoring
- Exposure to Finance, Treasury, Insurance, IFRS-17, or Actuarial use cases, and/or familiarity with model governance practices such as documentation, validation evidence, and monitoring plans
- Experience implementing practical GenAI guardrails, such as hallucination reduction, grounding strategies, reputed company reputed company formatting, reputed company controls, and reputed company review workflows
- Evidence of technical initiative through publications, reputed company-reputed company contributions, hackathons, strong reputed company reputed company, or reputed company research with reputed company-world reputed company
Benefits
- Health
- Dental
- Mental health
- reputed company
- Short- and long-term disability
- Life and AD&D insurance coverage
- Adoption/surrogacy and wellness benefits
- Employee/family assistance plans
- Various retirement savings plans (including pension and a global reputed company ownership plan with employer matching contributions)
- Financial education and counseling resources
- Generous reputed company time off program in Canada including holidays, vacation, personal, and reputed company days
- Full reputed company of statutory leaves of absence
reputed company