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    Lead Performance Engineer - Toronto, ON, Canada - BioTalent Canada

    BioTalent Canada
    BioTalent Canada Toronto, ON, Canada

    1 week ago

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    Description
    At Sanofi, we chase the miracles of science to improve people's lives.

    We believe our cutting-edge science and manufacturing, fueled by data and digital technologies, have the potential to transform the practice of medicine, turning the impossible into possible for millions of people.

    As one of Canada's leading investors in life sciences, manufacturing and research and development, we focus on delivering new and better ways to address unmet medical needs.

    Our life-changing and lifesaving products are grounded in science that Canadians can trust. They empower self-care, prevent and treat diseases, and help people live better.
    Our vision for digital, data analytics and AI
    Sanofi has 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.

    This has enabled us, to accelerate R&D, improve manufacturing and commercial performance, and bring novel drugs and vaccines to patients faster, all in order to improve health and save lives.

    The Digital Team at Sanofi is a unique data-driven team.

    We pride ourselves on being data obsessed and highly focused on using state of the art processes along with global technologies to drive impact to our solutions.

    If you are passionate about improving the health and wellness of people across the globe using Data as your means, then you should look no farther than the Digital Team here at Sanofi.

    Join us on our journey in enabling Sanofi's Digital Transformation through becoming an AI first organization.
    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 products, programs and projects to create an agile, fulfilling and meaningful work environment.

    World Class Mentorship and Trainin

    g:
    Working with renowned, published leaders and academics in machine learning to further develop your skillsets.

    You are a seasoned Software Engineer interested in leveraging large scale ML systems to augment the drug discovery process while also scaling up Sanofi's AI solutions for the patients of tomorrow.

    You are comfortable working in large teams with disparate stakeholders where you can lead and champion technical decisions.

    You have experience deploying AI/ML solutions with technically robust lifecycle management (e.g., new releases, change management, monitoring and troubleshooting) and infrastructural support.

    You have a keen eye for improvement opportunities and a demonstrated ability to deliver using software engineering and ML software integration skills while working across the full stack and moving fluidly between programming languages and technologies.

    Work in agile pods to design and build cloud hosted, ML products with automated pipelines that run, monitor, and retrain ML Models.

    Design AI/ML apps and implement automated model and pipeline adaption and validation working closely with data scientists and data engineers.

    new releases, change management, monitoring and troubleshooting).
    app monitoring, troubleshooting, life cycle management and customer support).
    Maintain effective relationships with application userbase to develop education and communication content as per life cycle events.
    Experience in data science, statistics, software engineering, modular design and design thinking.

    Experience developing CI/CD pipelines for AI/ML development, deploying models to production, and managing the lifecycle in a regulated environment.

    Experience building and deploying data science apps with large scale data and ML pipelines and architectures.
    Experience working in an agile pod supporting and working with cross-functional teams.

    Good understanding of ML and AI concepts and hands-on experience in development, deployment and agile life cycle management of data science apps.

    Ability to assess new technologies and compile architecture decision records (ADRs).
    Excellent communication skills in English, both verbal and in writing.
    Key Technical Requirements & Qualifications
    Graduate degree in Computer Science, Information Systems, Software Engineering or another quantitative field.
    Ability to work across the full stack and move fluidly between programming languages (e


    g:
    Python, SQL, Spark) and ML frameworks (e


    g:
    Experience in cloud and high-performance computing environments.
    Knowledge of relational and non-relational databases.
    Tableau, PowerBI).
    Experience in development, deployment and operations of AI/ML modelling of complex datasets.
    Watch our ALL IN video and check out our Diversity, Equity and Inclusion actions at sanofi.
    Sanofi is an equal opportunity employer committed to diversity and inclusion. Accommodations for persons with disabilities required during the recruitment process are available upon request.

    Follow Sanofi on Twitter:
    @SanofiCanada and on LinkedIn:
    #Watch our ALL IN video and check out our Diversity Equity and Inclusion actions at sanofi.
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