MLOps Engineer

MLOps Engineer

• Location: Barcelona - Spain
• Hybrid
• Full time

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. 

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. 

Main Job 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 MLOps 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 quantitative field.   
• 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?

• We are a highly collaborative team of tech enthusiasts with experience from the world class tech companies around the world, on a mission to help Sanofi transform into a first-in-class AI-focused data-driven company  
• Your work will have a tangible positive impact on patients’ lives around the world 
• Help 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 is 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 and at least 14 weeks’ gender-neutral parental leave. 
• Play an instrumental part in creating best practice within our manufacturing facility 

Pursueprogress. Discoverextraordinary. 

Progress does not happen without people – people from diverse backgrounds, in various locations, playing distinct roles, all united by one thing: a desire to make miracles happen. You can be one of those people. Chasing change, embracing innovative ideas and exploring all the opportunities we have to offer. Let us pursue progress. And let us discover extraordinary together. 

At Sanofi, we provide equal opportunities to all regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, or gender identity. 

Watch 'One day at Sanofi' and check out our Diversity Equity and Inclusion initiatives at sanofi.com

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