Senior Manager, Generative Artificial Intelligence

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Senior Manager, Generative Artificial Intelligence

Apply locations Toronto, ON, CAN time type Full time posted on Posted Yesterday job requisition id R240016183

Application Deadline :

07 / 29 / 2024

Address :

33 Dundas Street West

Job Family Group :

Data Analytics & Reporting

Senior Manager, Generative Artificial Intelligence

Take your career to a new level by joining the Data and Analytics Centre of Excellence (DACoE), whose mission is to drive top-tier growth, profit, and customer experience in North American Personal & Business Banking through data and analytics.

We transform information into insight, arm partners with facts, and drive the business forward.

The Team

We enable and accelerate our partners on their data science and AI journeys. Accelerating our teams across BMO on their path to value at scale.

We help each other in times of need, and we are proud of our work. We are data practitioners, research scientists, visionaries, thought leaders, multipliers, coders, and much more.

Above all, we are a global team of diverse folks who enjoy working together to create smart solutions which have an impact across the enterprise.

What’s In It For You

As the Senior manager of GenAI, you will be at the forefront of shaping the next generation of AI-driven solutions. You’ll be playing a pivotal role in driving innovation and pushing the boundaries of what’s possible with AI, contributing to groundbreaking projects and shaping the direction of the field,

You’ll have access to cutting-edge technologies, resources and training opportunities allowing you to stay at the forefront of AI advancements and continuously expand your skill set.

You’ll work alongside a diverse team of talented individuals, collaborating on multidisciplinary projects and sharing and knowledge and insights to foster a culture of innovation and learning.

You will get a leadership team that cares for your career and works to find the right opportunities for your growth.

Responsibilities

• Act as a thought leader and advocate for GenAI, sharing knowledge and insights to business stakeholders including senior executives.
• Leads discovery process with stakeholders to identify business requirements and expected outcomes and design GenAI prototypes and POCs to demonstrate solution feasibility and value.
• Design and develop GenAI solutions that include data ingestion, pre-processing, search and retrieval, Retrieval Augmented Generation(RAG), MML model development, fine-tuning and prompt engineering
• Working closely with other members of data science, ML / AI Ops, technology teams in the design, development, and implementation of the GenAI model solutions
• Collaborate closely with product teams, business stakeholders, ML / AI Ops, machine learning engineers and software engineers to ensure smooth integration of GenAI models into production systems.
• Write and maintain comprehensive documentation of modeling process and procedures for model governance and knowledge sharing.
• Broader work or accountabilities may be assigned as needed and based on your career growth ambition.

Qualifications

• Bachelor's / Master’s in Computer Science, Mathematics or Statistics, Computational linguistics, Engineering, or a related field.
• 1+ years of professional hands-on experience leveraging large sets of structured and unstructured data to develop data-driven tactical and strategic analytics and insights using ML, NLP, computer vision solutions.
• Demonstrated 1+ years hands-on experience with Python, Hugging Face, TensorFlow, Keras, PyTorch, Spark or similar statistical tools.

Expert in python programming.

• 1+ years hands-on experience developing natural language processing (NLP) models, ideally with transformer architectures.
• 1+ years of experience with implementing information search and retrieval at scale, using a range of solutions ranging from keyword search to semantic search using embeddings.
• Knowledge of developing or tuning Large Language Models (LLM) and Generative AI (GAI)
• Knowledge of NLP, LLMs (extractive and generative), fine-tuning and LLM model development. Familiar with higher level trends in LLMs and open-source platforms

Compensation and Benefits :

$100,800.00 - $187,200.00

Pay Type : Salaried

Salaried

The above represents BMO Financial Group’s pay range and type.

Salaries will vary based on factors such as location, skills, experience, education, and qualifications for the role, and may include a commission structure.

Salaries for part-time roles will be pro-rated based on number of hours regularly worked. For commission roles, the salary listed above represents BMO Financial Group’s expected target for the first year in this position.

BMO Financial Group’s total compensation package will vary based on the pay type of the position and may include performance-based incentives, discretionary bonuses, as well as other perks and rewards.

BMO also offers health insurance, tuition reimbursement, accident and life insurance, and retirement savings plans. To view more details of our benefits, please visit : https : / / jobs.

bmo.com / global / en / Total-Rewards

We’re here to help

At BMO we are driven by a shared Purpose : Boldly Grow the Good in business and life. It calls on us to create lasting, positive change for our customers, our communities and our people.

By working together, innovating and pushing boundaries, we transform lives and businesses, and power economic growth around the world.

As a member of the BMO team you are valued, respected and heard, and you have more ways to grow and make an impact. We strive to help you make an impact from day one for yourself and our customers.

We’ll support you with the tools and resources you need to reach new milestones, as you help our customers reach theirs.

From in-depth training and coaching, to manager support and network-building opportunities, we’ll help you gain valuable experience, and broaden your skillset.

To find out more visit us at https : / / jobs.bmo.com / ca / en .

BMO is committed to an inclusive, equitable and accessible workplace. By learning from each other’s differences, we gain strength through our people and our perspectives.

Accommodations are available on request for candidates taking part in all aspects of the selection process. To request accommodation, please contact your recruiter.

Note to Recruiters : BMO does not accept unsolicited resumes from any source other than directly from a candidate. Any unsolicited resumes sent to BMO, directly or indirectly, will be considered BMO property.

BMO will not pay a fee for any placement resulting from the receipt of an unsolicited resume. A recruiting agency must first have a valid, written and fully executed agency agreement contract for service to submit resumes.

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BMO is a leading bank driven by a single purpose : to Boldly Grow the Good in business and life. Everywhere we do business, we’re focused on building, investing and transforming how we work to drive performance and continue growing the good.

Who we are

We’re proud to be fueling growth and expanding possibilities for individuals, families and businesses. More than 12 million customers count on us for personal and commercial banking, wealth management and investment services.

As the 8th largest bank in North America by assets, we provide personal and commercial banking, wealth management and investment services to more than 12 million customers.

In Canada, the United States and across the globe, we’ll continue to build, invest and transform to drive performance that serves the good that grows.

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