RnD AI Product Engineer

Eacademy Sanofi; Toronto; Hybrid; CAD 80,000 - 105,000; Full time

Job summary

A global healthcare organization in Toronto is looking for an AI / ML Product Engineer to join their R&D Data & AI team. This role focuses on developing and delivering AI products, including designing APIs and optimizing workflows. Candidates should have a Bachelor's degree and 3-5 years of relevant experience, along with proficiency in data analytics software. The opportunity offers a collaborative environment and professional growth.

Benefits

Health and wellbeing benefits

Supportive team environment

Opportunities for career growth

Qualifications

• 3-5 years of experience in AI / ML product engineering or related field.
• Deep understanding of developing data pipelines and workflows.
• Understanding of R&D business and data environment preferred.

Responsibilities

• Collaborate with AI / ML model development teams.
• Engineer AI / ML product based on defined requirements.
• Design, develop, and deploy APIs and data feeds.

Skills

AI / ML product engineering

Software engineering

Data pipelines and workflows

Excellent communication

Agile methodologies

Education

Bachelor’s degree in software engineering or related field

Tools

SQL

Python

Java

Excel

AWS

Snowflake

Informatica

Flask

Django

FastAPI

Job description

Overview

Reference No. R2821651

Position Title : RnD AI Product Engineer

Department : ML Engineering

Location : Toronto, Canada

Our Hubs are a crucial part of how we innovate, improving performance across every Sanofi department and providing a springboard for the amazing work we do. Build a career and you can be part of transforming our business while helping to change millions of lives. Ready?

At Sanofi, we’re committed to providing the next-gen healthcare that patients and customers need. It’s about harnessing data insights and leveraging AI responsibly to search deeper and solve sooner than ever before. Join our R&D Data & AI Products and Platforms Team as AI / ML Product Engineer and you can help make it happen.

Sanofi has recently embarked into a vast and ambitious digital transformation program. A cornerstone of this roadmap is the acceleration of its data transformation and of the adoption of artificial intelligence (AI) and machine learning (ML) solutions, to accelerate R&D, manufacturing and commercial performance and bring better drugs and vaccines to patients faster, to improve health and save lives.

The R&D Data & AI Products and Platforms Team is a key team within R&D Digital, focused on developing and delivering Data and AI products for R&D use cases. This team plays a critical role in pursuing broader democratization of data across R&D and providing the foundation to scale AI / ML, advanced analytics, and operational analytics capabilities.

As a AI / ML Product Engineer , you will join this dynamic team committed to driving strategic and operational digital priorities and initiatives in R&D. You will work as part of a Data & AI Product Delivery Pod, led by a Product Owner, in an agile environment to deliver Data & AI Products. You will be responsible for designing and developing the endpoints or databases where AI / ML models can be deployed and accessed. You will have the ability to work on multiple AI / ML products serving multiple areas of the business.

Our vision for digital, data analytics and AI

Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means :

• AI Factory - Versatile Teams Operating in Cross Functional Pods : Utilizing digital and data resources to develop AI products, bringing data management, AI and product development skills to programs and projects to create an agile, fulfilling and meaningful work environment.
• Leading Edge Tech Stack : Experience building products that will be deployed globally on a leading-edge tech stack.
• World Class Mentorship and Training : Working with renowned leaders and academics in machine learning to further develop your skillsets.

We are an innovative global healthcare company with one purpose : to chase the miracles of science to improve people’s lives. We’re also a company where you can flourish and grow your career, with countless opportunities to explore, make connections with people, and stretch the limits of what you thought was possible. Ready to get started?

Main Responsibilities

AI / ML Product Engineering :

• Provide input into the engineering feasibility of developing specific R&D AI Products
• Provide input to Data / AI Product Owner and Scrum Master to support planning, capacity, and resource estimates
• Collaborate with AI / ML model development teams to understand the inner workings of the AI / ML model and handoffs
• Engineer AI / ML product (incl. workflows, API endpoints, databases) based on defined requirements for specific use cases, typically involving the processing of data directly from an AI / ML model and subsequently consuming the data output from the refined AI / ML model
• Develop an intuitive user interface for users to interact with the AI / ML model
• Collaborate with Data / AI Product Owner and Scrum Master to share progress on engineering activities and inform of any delays, issues, bugs, or risks with proposed remediation plans
• Design, develop, and deploy APIs, data feeds, or specific features required by product design and user stories
• Optimize workflows to drive high performance and reliability of implemented AI products
• Oversee and support junior engineer with Data / AI Product testing requirements and execution

Innovation & Team Collaboration :

• Stay current on industry trends, emerging technologies, and best practices in data product engineering
• Contribute to a team culture of innovation, collaboration, and continuous learning within the product team

About You

Key Functional Requirements & Qualifications :

• Bachelor’s degree in software engineering or related field
• 3-5 years of experience in AI / ML product engineering, software engineering, or other related field
• Deep understanding and proven track record of developing data pipelines and workflows
• Understanding of R&D business and data environment preferred
• Excellent communication and collaboration skills
• Working knowledge and comfort working with Agile methodologies

Key Technical Requirements & Qualifications :

• Proficiency with data analytics and statistical software (incl. SQL, Python, Java, Excel, AWS, Snowflake, Informatica)
• Experience with the design and development of APIs / Endpoints (e.g., Flask, Django, FastAPI)
• Expertise in cloud platforms and software involved in the deployment and scaling of AI / ML models

Why Choose Us?

• Bring the miracles of science to life alongside a supportive, future-focused team
• Discover endless opportunities to grow your talent and drive your career, whether it’s through a promotion or lateral move, at home or internationally
• Enjoy a thoughtful, well-crafted rewards package that recognizes your contribution and amplifies your impact
• Take good care of yourself and your family, with a wide range of health and wellbeing benefits including high-quality healthcare, prevention and wellness programs

This position is for a new vacant role that we are actively hiring for.

Sanofi is an equal opportunity employer committed to diversity and inclusion. Our goal is to attract, develop and retain highly talented employees from diverse backgrounds, allowing us to benefit from a wide variety of experiences and perspectives. We welcome and encourage applications from all qualified applicants. Accommodations for persons with disabilities required during the recruitment process are available upon request.

GD-SP

LI-SP

LI-Hybrid

DBBCA

All compensation will be determined commensurate with demonstrated experience. Employees may be eligible to participate in Company employee benefit programs, and additional benefits information can be found here.

Les employés peuvent être admissibles à participer aux programmes d'avantages sociaux de l'entreprise. Des informations supplémentaires sur les avantages sociaux peuvent être trouvées ici.

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