MLOps Engineer

Job description

·  Location: Budapest – Sanofi Business Services, Váci Greens
·  Flexible working: 60% home office / week
·  Job type: Permanent, Full time

About the job

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 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. 

About Growing with us

In this role you will…

·  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 
·  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 app userbase to develop education and communication content as per life cycle events 
·  Researching and gain expertise on emerging tools and technologies. An enthusiasm to ask questions and try and learn new things is essential

About you

·  Bachelor degree in Computer Science, Information Systems, Software Engineering or another quantitative fields and 3-5 years of relevant industry or academic experience
·  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 (MLOps)
·  Excellent communication skills in English, both verbal and in writing
·  Ability to work across the full stack and move fluidly between programming languages and MLOps technologies (e.g.: Python, Spark, R, Metaflow, Github, MLFlow, Argo) 
·  Experience in cloud and high-performance computing environments  
·  Experience in AWS (e.g.: S3, Lambda, EC2, cloud watch) and other similar technologies (e.g.: ELKstack, Snowflake, Informatica) 
·  Knowledge of relational databases, query authoring (SQL) and designing variety of databases (e.g., Postgres SQL, Document store)

When joining our team, you will experience:

·  An international work environment, in which you can develop your talent and realize ideas and innovations within a competent team
·  An attractive, market-oriented salary and cafeteria benefits
·  Flexible home office policy, with a possibility to work up to 60% of time from home / where you can easiliy schedule your office days
·  Work from an "Office of the Year 2020" finalist office
·  Collective life and accident insurance
·  Yearly medical check-up
·  An individual and well-structured introduction and training of new employees and we will dedicate a Buddy for you to better navigate in your first weeks
·  Your own career path within Sanofi. Your professional and personal development will be supported purposefully
·  Join a great community & special events (Monthly Board Game Nights, Summer Events, Well-Being Lectures & Sport Clubs)

Pursue Progress . Discover Extraordinary .

Better is out there. Better medications, better outcomes, better science. But progress doesn’t happen without people – people from different backgrounds, in different locations, doing different roles, all united by one thing: a desire to make miracles happen. So, let’s be those people.

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

Discover our Code of Conduct , that serves as the moral compass that guides us when chasing the miracles of science to improve people’s lives. Please ensure to have read this document, before applying.

#Sanofi #WeNeverSettle #SanofiCareers #PursueProgress #DiscoverExtraordinary #joinsanofi #careerswithpurpose

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.