21 Emplois pour Apprentissage Automatique - Canada
AI and Data Science Technical Analyst-Manager
Aujourd'hui
Emploi consulté
Description De L'emploi
Reference No . R2811007
Position Title: AI and Data Science Technical Analyst-Manager
Department : Data Science and Applied AI, EDGE
Location: Downtown Toronto (Hybrid - 3 days a week onsite)
About the Job
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.
About Sanofi: Sanofi is a global leader in healthcare, dedicated to improving lives through scientific innovation. Our mission is to chase the miracles of science to improve people’s lives. We are expanding across borders and transforming healthcare for all. People are the most critical ingredient to our success.
About E.D.G.E.: Sanofi’s E.D.G.E. Team (Emerging Disruptive Growth Exploration) conducts cutting-edge research in healthcare and incubates data-driven solutions to improve health outcomes, support families, enhance clinicians’ experiences, and reduce healthcare costs. We are actively incubating multiple concepts to improve lives globally, especially for underserved populations.
We are seeking an experienced AI & Data Science Technical Analyst/Manager to lead technical product management functions in a cross-functional pod of Computational Scientists, Data Scientists, and AI/ML Engineers. This role is pivotal in guiding the development of data and AI products that will revolutionize our data product pipelines. You will be responsible for defining the product vision, strategy, and roadmap for our AI-driven solutions, translating complex scientific and business challenges into actionable product plans.
You will orchestrate the work of a team that uses clinical and real-world data to create innovative data products and projects. Your leadership will ensure that our versatile teams deliver innovative, production-ready models and solutions that provide a competitive advantage for Sanofi.
We are an innovative global healthcare company with a focus on immunology that extends to innovation in diabetes and transplant medicine. Across different countries, our talented teams are determined to deliver a best-in-class customer experience using the best of digital, artificial intelligence and personal know-how. With a focus on immunology that extends to innovation in diabetes and transplant medicines, we pursue progress to make a real impact on millions of patients around the world.
Main Responsibilities:
Product Vision and Strategy: Assist in the definition and communicate a clear product vision and strategic roadmap for AI and data science initiatives, aligning with the broader goals of EDGE, Digital, R&D and business stakeholders.
Roadmap and Execution: Manage the entire product lifecycle, from ideation and scoping to delivery and iteration. Break down complex problems into effective, actionable steps for the technical team.
Cross-Functional Leadership: Lead and collaborate with a team of data scientists, computational scientists, engineers, and MLOps professionals to develop, test, and deploy AI/ML solutions into product teams.
Stakeholder Management: Serve as the primary point of contact between the technical team and non-technical stakeholders, including researchers, clinicians, and business unit leaders. Translate and champion the team's advanced analytics capabilities and results to a broader audience.
Requirement Definition: Work with stakeholders to identify areas for data-driven improvement, gathering requirements and translating them into technical specifications and user stories for the development team.
Process Management: Implement and oversee agile methodologies to manage workflow and ensure the timely delivery of high-quality data products, from preparing common data models to deploying production-ready models.
Data and Technology Oversight: Guide the team in leveraging diverse and large-scale biomedical datasets, including electronic health records (EHRs), clinical trial data, and real-world evidence. Ensure the adoption of a leading-edge tech stack and foster an environment of continuous learning and improvement.
About You
Key Requirements & Qualifications:
Educational Background: A degree in a quantitative or technical field such as Computer Science, Engineering, Statistics, or significant experiences in technical/digital industries, preferably with advanced degrees.
8 years Product Management Experience: Proven experience in a technical product management role, preferably in an agile environment, with a track record of launching production-level code and data-driven products.
Technical Fluency: Strong understanding of the data science and machine learning landscape. You should be familiar with concepts such as supervised/unsupervised learning, deep learning, NLP, and MLOps. While you won't be coding daily, you must be comfortable discussing technical approaches and challenges with engineers and scientists.
Domain Knowledge: Experience with healthcare data sources, such as electronic health records (EHRs), clinical trial data, or other biomedical datasets is highly preferred.
Leadership and Communication: Demonstrated ability to lead cross-functional teams and collaborate effectively. You possess excellent written and verbal communication skills, with a talent for data storytelling and translating complex technical concepts for non-technical audiences.
Problem-Solving Skills: A passion for solving complex problems with a desire to make a tangible impact on patient outcomes.
Preferred Skills:
Familiarity with data science languages and tools such as Python, R, JIRA, Confluence.
Knowledge of big data analytics platforms and ML libraries (e.g., Databricks, SageMaker, TensorFlow, PyTorch).
Experience with data visualization tools like Tableau, Plotly, or Streamlit.
Experience in the software/digital development and pharmaceutical industries and a solid understanding of the clinical research process.
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-SG
#LI-GZ
#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.
Machine Learning Engineer
Aujourd'hui
Emploi consulté
Description De L'emploi
Reference No. R2816715
Position title: Machine Learning Engineer
Department: MLOps Engineering
Location: Toronto, ON
About the Job
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
We are an innovative global healthcare company, driven by one purpose: we chase the miracles of science to improve people’s lives. Our team, across some 100 countries, is dedicated to transforming the practice of medicine by working to turn the impossible into the possible. We provide potentially life-changing treatment options and life-saving vaccine protection to millions of people globally, while putting sustainability and social responsibility at the center of our ambitions.
Sanofi has recently embarked on 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.
Our vision for AI
Join us on our journey in enabling Sanofi’s Digital Transformation through becoming an AI first organization. This means:
AI Factory: An extensive portfolio of AI products driving every stage of the company's value chain, from R&D and trials to manufacturing, supply chain, and commercial operations.
State-of-the-art Tech Stack: Globally deployed products using a state-of-the-art technology stack.
World-Class Mentorship and Training: Collaborate with renowned leaders and academics in AI/ML to enhance your skills and expertise.
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:
Work in an agile development pod to design, build and maintain cloud hosted AI/ML products with automated pipelines that run, monitor, and retrain ML Models
Implement automated ML pipelines (e.g., training and inference) working closely with other peers e.g., data scientists and data engineers
Support life cycle management of deployed AI/ML apps (e.g., new releases, change management, monitoring and troubleshooting)
Work as intermediate level subject matter expert in MLOps (e.g., develop and maintain enterprise standards, user guides, release notes, FAQs)
Build processes and reusable components supporting seamless ML Operations (e.g., app monitoring, troubleshooting, life cycle management and customer support)
Walk stakeholders and solution partners through solutions and reviewing product change and development needs
Maintain effective relationships with app userbase to develop education and communication content as per life cycle events
Research and gain expertise on emerging tools and technologies. An enthusiasm to ask questions and try and learn new things is essential
About You
You are a dynamic AI/ML Engineer interested in challenging the status quo to ensure seamless AI/ML Engineering Operations that scale up Sanofi's AI solutions for the patients of tomorrow. You are an influencer and a future leader who has deployed AI/ML solutions with technically robust lifecycle management and infrastructural support. You are deeply interested in improvement opportunities and always thrive to demonstrate ability to deliver using AI/ML Engineering skills while working across the full stack and moving fluidly between programming languages and technologies.
Key Technical Skills
University degree (Bachelor, Master or PhD) in Computer Science, Information Systems, Software Engineering, or another relevant engineering discipline .
Minimum 3 years of experience in building, deploying, monitoring and maintaining AI/ML applications utilizing cloud technologies (e.g., AWS, GCP, Azure, Snowflake etc.).
Ability to work across the full stack and move fluidly between programming languages (e.g., Python) and MLOps technologies (e.g. Github, Argo, Metaflow, WandB, Snowflake)
Experience in implementing CI/CD pipelines for AI/ML driven app development
Experience in building and deploying apps with large scale data and ML pipelines
Ability to assess new technologies and compile architecture decision records (ADRs)
Experience working in an agile team supporting and working with cross-functional teams
Knowledge of relational (e.g., Postgres SQL) and non-relational databases (e.g., Graph database, Vector Database etc.)
Experience in visualization technologies (e.g. Python DASH, Tableau, PowerBI)
Experience in developing and maintaining backend APIs (e.g. REST)
Experience in provisioning cloud infrastructure leveraging Infrastructure as a code tools (e.g.: Docker, Kubernetes, Terraform)
Experience in cloud-based ML engineering in an industrial setting within a global organization (technology company preferred)
Experience in working within compliance (e.g. quality, regulatory - data privacy, GxP, SOX) and knowledge in cybersecurity is a plus
Soft Skills:
Excellent communication skills in English (both verbal and written as your work will require daily communication with teams around the globe).
Structured, goal-oriented, and highly motivated.
Able to work in a fast-paced, constantly evolving environment and manage multiple priorities.
Interpersonal skills to work with technical leaders to define and enhance standards of development in AI engineering.
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 current vacant role that is now open for applications.
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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