MLOps engineer - Snowflake, United States - Sanofi-Aventis Belgium S.A.

Description

MLOps engineer

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 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.

Who You Are

You are a dynamic MLOps Engineer interested in challenging the status quo to ensure seamless MLOps that scale up Sanofi's AI solutions for the patients of tomorrow.

You are an influencer and leader who has deployed 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 MLOps skills while working across the full stack and moving fluidly between programming languages and technologies.

Our vision for digital, data analytics and AI

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 Trainin

g:
Working with renown leaders and academics in machine learning to further develop your skillsets
There are multiple vacancies across our Digital organization. Further assessments will be completed to determine specific function and level of hired candidates.
Job Highlights

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
Key Functional Requirements & Qualifications

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 (MLOps)
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

Bachelor degree in Computer Science, Information Systems, Software Engineering or another quantitative fieldand 3 years of experience of relevant industry or academic experience
Ability to work across the full stack and move fluidly between programming languages and MLOps technologies (e


g:
Python, Spark, R, DataBricks, Github, MLFlow, Airflow)
Experience in cloud and high-performance computing environments (AWS preferred)
Experience in AWS (e


g:
S3, Lambda, EC2, cloud watch) and other similar technologies (e


g:
ELK stack, Snowflake, Informatica)
Knowledge of SQL and relational databases, query authoring (SQL) and designing variety of databases (e.g., Postgres SQL)
Experience with visualization technologies (e


g:
RShiny, Python DASH, Tableau, PowerBI)
Experience in development, deployment and operations of AI/ML modelling of complex datasets
Experience in developing and maintaining APIs (e


g:
REST)
Experience specifying infrastructure and Infrastructure as a code (e


g:
docker, Kubernetes, Terraform)
Experience in cloud-based ML engineering in an industrial setting within a global organization (technology company preferred)
Experience on working within compliance (e


g:
quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements is a plus
For more senior roles, mentoring and/or technology evangelism/advocacy experience
The Fine Print

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.
Sanofi is committed to welcoming and integrating people with disabilities.
Only those candidates selected for interviews will be contacted.
Thank you in advance for your interest.

For more details:
Pursue

Progress

. Discover

Extraordinary

.
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 thin

g:
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, ability or gender identity.

Watch our

ALL IN video

and check out our Diversity Equity and Inclusion actions at

#J-18808-Ljbffr