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Head MLOps (Machine Learning) Engineering

Synthorx

Synthorx

Software Engineering
Toronto, ON, Canada
Posted on Friday, September 22, 2023

Reference No. R2666300

Position Title: Head MLOps (Machine Learning Engineering

Department: Artificial Intelligence Platform and Applications

About Sanofi:

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.

Who You Are:

You are an experienced software engineer who is interested in designing and developing comprehensive solutions to support and facilitate business operations. You have a strong understanding of back-end and front-end technologies and have experience implementing highly functional solutions that can scale. You have a passion for good user experience and know how to ensure user needs are met through agile development and stakeholder engagement. You are an excellent communicator, and can work with subject matter experts, graphic designers, support teams and managers to deliver professional grade solutions.

Our vision for digital, data analytics and AI

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. 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. We measure our insights and products based on how they preform across the globe and hold ourselves to the highest regard as our solutions can impact millions of lives. When tackling a problem, we do not just ask how we will create a solution, but how we will create a solution that reaches across the world with the best possible societal outcome.

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. 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 products, programs and projects to create an agile, fulfilling and meaningful work environment.

  • Leading Edge Tech Stack: Experience build products that will be deployed globally on a leading-edge tech stack.

  • World Class Mentorship and Training: Working with renowned, published leaders and academics in machine learning to further develop your skillsets.

Location: The Sanofi Digital Data Team uses a hybrid working model combining remote and office-based work. The Canada Digital Data Hub offices will be located in the greater downtown area of Toronto.

Key Responsibilities:

  • Work closely with the respective managers across the data organization to provide the right level of resources and skillsets to deliver AI products.

  • Hire and Build a high performing MLOps team .

  • Lead Sanofi’s ML development standards and best practices.

  • Collaborate with others in engineering and product leadership to create and own the long-term roadmap and deliverables for your team.

  • Effectively communicate the roadmap and strategy within the team and across the organization.

  • Create and manage processes that enable team members to do their best work.

  • Develop assets, accelerators, and thought capital for your practice by providing best in class framework and reusable components.

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

  • Oversee the design of AI/ML apps and the implementation of automated model and pipeline adaption.

  • Validation working closely with solution architects, data scientists and data engineers leads/managers.

  • Bring your deep expertise in cloud architecture / DevOps to analyze and recommend enterprise-grade solutions for operationalizing AI / ML analytics.

  • Lead development end-to-end (Data/Dev/ML)Ops pipelines based on in-depth understanding of cloud platforms, AI lifecycle, and business problems to ensure analytics solutions are delivered efficiently, predictably, and sustainably.

  • Researching and gain expertise on emerging tools and technologies. An enthusiasm to ask questions and try and learn new things is essential. Prototype and demonstrate solutions. Be innovative.

  • Use your judgment to craft solutions to complex problems or seek guidance as needed.

  • Support life cycle management of deployed ML apps (e.g., new releases, change management, monitoring and troubleshooting).

  • Work as MLOps subject matter expert (e.g., develop and maintain enterprise standards, user guides, release notes, FAQs). Build processes supporting seamless MLOps (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 stakeholders to develop education and communication content as per life cycle events.

  • Drive impact by leading your teams to deliver results with sustainable engineering practices.

  • Co-Own project planning and execution of multiple features and releases.

  • Contribute to architecture, design, and code reviews. Also not be afraid to do some hands-on development/debugging to solve complex use cases.

  • Lead a team of high-performing engineers and tech leads. Help them grow their skillset through hands-on experience, mentorship, and feedback.

  • Nurture a culture of excellence on the team through hiring diverse and talented engineers, predictable execution, and a high level of quality.

  • Participate to the engineering community and be a trusted advisor to your colleagues and to our stakeholders.

Key Requirements:

  • 10+ years of relevant experience.

  • Demonstrated Design-to-implementation consulting experience across digital and the establishment of engineering functions.

  • Demonstrated use of technologies to develop, monitor and deploy products (e.g. Github, GitAction, Splunk, cloudwatch, Argo, Spark, MLflow, …).

  • Demonstrated ability in the establishing of MLOps practice and associated practices in complex environments.

  • Experience in coaching and leading agile dev teams, and building a team and culture around agile development practices.

  • Demonstrated experience in building AI scalable industrialized products, establishing the vision for major products.

  • Experience interacting and influencing cross-functional stakeholders to execute high-impact projects.

  • Demonstrated leadership and coaching skills to develop individuals and teams.

  • 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.

  • Strong understanding of ML and AI concepts and hands-on experience in development, deployment and agile life cycle management of data science apps (MLOps).

  • Ability to assess new technologies and compile architecture decision records (ADRs).

  • Excellent communication skills in English, both verbal and in writing.

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.

Thank you in advance for your interest.

Only those candidates selected for interviews will be contacted.

Sanofi, Empowering Life

#DDB

#GD-SP #LI-SP

At Sanofi diversity and inclusion is foundational to how we operate and embedded in our Core Values. We recognize to truly tap into the richness diversity brings we must lead with inclusion and have a workplace where those differences can thrive and be leveraged to empower the lives of our colleagues, patients and customers. We respect and celebrate the diversity of our people, their backgrounds and experiences and provide equal opportunity for all.