AI Engineer

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BMO Capital Markets is a leading, full-service financial services provider. We offer corporate and investment banking, treasury management, as well as research and advisory services to clients around the world. #bmocapitalmarkets

About the Role

We are seeking a talented and experienced Machine Learning Engineer to join our Data Cognition Team at BMO Capital Markets. As a Machine Learning Engineer, you will be responsible for developing and implementing AI solutions with a specific focus on LLMs (Language Models) and Generative AI. You will work with the Data Cognition Team (DCT) to design, develop, and deploy scalable, customizable, and human-centric AI products that drive business growth and deliver value to our clients. As an engineer in our firm, you will work on the engineering aspects of Language Models and Generative Artificial Intelligence (AI), contributing to the development of innovative solutions in these fields.

**Important**

To ensure that we attract top talent, we require all applicants to answer screening questions listed below. Please include your responses at the beginning of your resume before any other content.

1. Briefly explain how your qualifications, including your education and work experience, align with the job description you are applying for ?

2. What interests you about finance, Capital Markets, and BMO?

Our Team

The Data Cognition Team (DCT) at BMO Capital Markets offers a scalable, customizable, and sustainable suite of core AI-enabled products for various business units. With access to the latest AI research and applications, we develop products that solve the most challenging business problems. Our methodology drives strategic processes impacting multiple business units, including Investment Banking, and Global Markets.

Responsibilities

• Utilize advanced knowledge of design and analysis methodologies to work in a full stack AI team and demonstrate excellent problem-solving and analytical skills.

• Communicate closely with stakeholders to understand their needs and develop applications.

• Architect and enable distributed compute solutions for LLM workloads, improving efficiency and scalability by leveraging appropriate storage hardware and data formats.

• Optimize performance by identifying and addressing latency contributors, such as IO bottlenecks and inefficient data shuffling. Scale models using distributed training techniques.

• Parallelize inference processing to improve prediction latency and optimize inference pipelines for enhanced system performance.

• Provide subject matter expertise in Graph and Vector databases, including use cases such as Knowledge Graphs and RAG.

• Design and develop multi-agent systems to enable collaborative decision-making and coordination among multiple tools, incorporating entity extraction, summarization, and language tools.

• Implement observability and monitoring solutions for LLMs, ensuring comprehensive monitoring of model performance and system health.

• Implement robust testing frameworks to assess model performance, reliability, and scalability under various conditions, including prompt robustness.

• Manage infrastructure and design large-scale systems, diagnosing and mitigating both model and system failures.

• Utilize AI-driven data quality techniques to ensure high-quality data and services, mitigating reputation risk.

• Build, deploy, and monitor complex microservice architectures using technologies like Docker, Kubernetes, and infrastructure as code in a hybrid environment.

• Leverage advances in agent-based models to develop AI systems capable of autonomous decision-making and self-improvement.

• Integrate multi-agent systems with reinforcement learning techniques to enable adaptive and robust AI solutions.

• Explore the implementation of conversational AI agents for enhanced user interactions.

• Stay updated with the latest research and trends in AI agents and incorporate innovative approaches to improve AI applications.

Qualifications

• Education: Bachelor's or Graduate degree in Computer Science, Physics, Electrical Engineering, or related fields. Strong knowledge of machine learning, deep learning, or natural language processing is required. Familiarity with finance, economics, or related domains is preferred.

• Strong programming skills: Experience in multiple programming languages and eagerness to learn new ones.

• Experience: Experience in solving problems in finance is highly desirable.

• Familiarity with tools such as Langfuse, LangGraph, Milvus, or similar, is essential

• Technical skills: Proficiency in Python and relevant ML frameworks. Strong understanding of LLM architectures and applied generative AI techniques. Experience with distributed computing, containerization, and infrastructure management is required.

• Engineering mindset: Strong problem-solving skills with a focus on engineering aspects of LLMs and AI, including scalability, performance, and efficiency. Experience with software engineering best practices, version control systems, and agile development methodologies. Proficiency in dealing with complex concepts in a clear and concise manner.

• Communication and teamwork: Excellent communication skills, both written and verbal, to collaborate effectively with cross-functional teams in the finance domain. Ability to explain complex concepts to non-technical stakeholders.

• Financial domain knowledge is a plus: Familiarity with investment banking concepts, financial markets, risk assessment, and trading strategies. Understanding of financial data formats (e.g., time series, tick data).

Join our team at BMO Capital Markets and contribute to solving complex challenges in investment banking and global markets using cutting-edge AI and generative AI technologies. Apply today with your resume, highlighting your relevant experience in engineering and finance.

We are considering professionals at the Analyst, Associate and Vice President level.

The salary range for this role is $90,000 up to $150,000 CAD (subject to negotiation and subject to the candidate meeting the specific skills, experience, education, and qualification requirements)

Salaire :

Type de rémunération :

Ce qui précède représente la fourchette et le type de rémunération de BMO Groupe financier.

Les salaires varieront en fonction de facteurs comme l’emplacement, les compétences, l’expérience, les études et les qualifications pour le poste et pourront inclure une structure de commissions. Les salaires pour les postes à temps partiel seront calculés au prorata du nombre d’heures travaillées régulièrement. Pour les rôles à commission, le salaire susmentionné représente la cible de BMO Groupe financier pour la première année au poste.

La rémunération totale offerte par BMO variera selon le type de rémunération associé au poste et peut comprendre des primes de rendement, des primes discrétionnaires ainsi que d’autres avantages et récompenses. BMO offre également une assurance santé, le remboursement des frais de scolarité, une assurance accident et une assurance vie, ainsi que des régimes d’épargne-retraite. Pour en savoir plus sur nos avantages sociaux, consultez le site : https://jobs.bmo.com/ca/fr/R%C3%A9mun%C3%A9ration-globale

À propos de nous

À BMO, nous sommes animés par une raison d’être commune : Avoir le cran de faire une différence dans la vie, comme en affaires. Cette raison d’être nous invite à entraîner des changements positifs et durables pour nos clients, nos collectivités et nos gens. En travaillant ensemble, en innovant et en repoussant les limites, nous transformons des vies et des entreprises et favorisons la croissance économique partout dans le monde.

En tant que membre de l'équipe de BMO, vous êtes valorisé, respecté et entendu, et vous avez plus de moyens pour progresser et obtenir des résultats. Nous nous efforçons de vous aider à obtenir des résultats dès le premier jour, pour vous-même et nos clients. Nous vous offrirons les outils et les ressources dont vous avez besoin pour franchir de nouvelles étapes, car vous aidez nos clients à franchir les leurs. Au moyen de formation et de coaching approfondis ainsi que de soutien de la direction et d'occasions de réseautage, nous vous aiderons à acquérir une expérience enrichissante et à élargir votre groupe de compétences.

Pour en savoir plus, visitez-nous à l'adresse https://jobs.bmo.com/ca/fr.

BMO s'engage à offrir un milieu de travail inclusif, équitable et accessible. Nous apprenons de nos différences et tirons notre force des gens et de leurs différents points de vue. Des mesures d’adaptation sont disponibles sur demande pour les candidats qui participent à tous les aspects du processus de sélection. Pour demander des mesures d’adaptation, veuillez communiquer avec votre recruteur.

Remarque aux recruteurs : BMO n’accepte pas les curriculum vitæ non sollicités provenant de toute source autre que le candidat directement. Tout curriculum vitæ non sollicité envoyé à BMO, directement ou indirectement, sera considéré comme la propriété de BMO. BMO ne paiera aucuns frais pour les placements découlant de la réception d’un curriculum vitæ non sollicité. Une agence de recrutement doit d’abord détenir une entente de service écrite valide et dûment signée avant d’envoyer des curriculum vitæ.