Machine Learning Ml Engineering Lead H/F Sanofi
Paris - 75 CDI- Bac +5
- Industrie Pharmaceutique • Biotechn. • Chimie
Les missions du poste
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
- Generative AI Platform : A technological foundation enabling the reliable, consistent, efficient, secure,scalable, and responsible development of Generative AI (Gen AI) products by optimizingsystem architecture, processes, and services
- State-of-the-artTech 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 :
- Design, build, deploy and maintainAI/ML applicationswith a strong consideration for scalability, reliability, and security
- Implement automated model training and deployment pipelines adapting and validatingvia close collaboration with data scientists and data engineers
- Support end-to-end lifecycle management (e.g., new releases, change management, monitoring, and troubleshooting) of deployed AIand Gen AI apps
- Build scalable, robust, and reusable code, as well as processes supporting seamless AI/ML Ops (e.g., app monitoring, troubleshooting, life cycle management, and customer support)experience
- Work closely with the product management team in designing solutions and challenging product features
- Walk stakeholders and partners through the technical solutions, review product change and development needs
- Maintain effective relationships with the application userbase and develop education and communication content aligned with life cycle events
- Research and gain expertise in emerging tools and technologies. Enthusiasm for asking questions and a willingness to try and learn new things are essential
- Work as AI/ML subject matter expert (e.g., develop and maintain enterprise standards, user guides, release notes, FAQs)
- Work in agile PODs to design and build cloud-hosted AI/ML products with automated pipelines that run, monitor, and retrain AI Models
- Mentor junior team members and contribute to the AI engineering center of practice community
About you
You are a dynamic, motivated, driven, and experienced AI Engineer excited by challenging the status quo, and building performant and seamless AI/ML Ops experience. You are comfortable with and enjoy designing, developing, and deploying scalable 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 relevant AI Engineering skills while working across the full stack and moving fluidly between programming languages and technologies.
Key TechnicalSkills and Qualifications :
- Graduate degree (MS or PhD) in Computer Science, Information Systems, Software Engineering, or another quantitative field
- Minimum 5 years of experiencein building, deploying, monitoringand maintaining AI applications utilizingcloud technologies (e.g., AWS or Azure)
- Strong experience in a modern programming language (e.g., Python) and able to move fluidly between programming languages if needed
- Experience in AI/ML Framework (such as PySpark, Scikit-learn, PyTorch, Tensorflow etc.), and MLOPS tools (e.g., MLFlow, Weights & Biases, Metaflow, Grafana, ELKstack etc.)
- Good understanding of AI concepts including Traditional AI and Generative AI (e.g., agents, RAG, RLHF, prompt engineering), and experienced in Life cycle management of LLM based applications(LLM Ops)
- Experience in Terraform (provisioning infrastructure leveraginginfrastructure-as-code)
- Strong experience in Sofware engineering andsecurity best practices (e.g., guardrails for LLMs), and LLM monitoring (e.g., cost, tokens, latency etc.) in developing CI/CD pipelines leveragingstandard tools (e.g., Docker, GitHub, GitHub Actions, ArgoCD etc.)for model development and deployment to production (preferably in Kubernetes clusters such as EKS, GKE etc.), and capable of managing model lifecycle in a highly regulated environment
- Knowledge of database technologies including relational (e.g., Postgres SQL), NoSQL and Vector database (e.g., Pinecone)
- Experience working in an agile podsupporting and collaboratingwith cross-functional teams
- Experience in developing and maintaining APIs (e.g., REST)
- Ability to evaluateand compare modern technologiesto meet gaps in AI/Gen AI platform
- Experience in working within compliance (e.g., quality, regulatory - data privacy, GxP, SOX) and cybersecurity requirements
- Experience in building AI/ML powered software products in an industrial setting within a global organization (technology company preferred)
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
- Ability to mentor team members and technology evangelism/advocacy experience
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. Discover Extraordinary.
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. You can BE one of those people. Chasing change, embracing new ideas and exploring all the opportunities we have to offer. Let's pursue progress. And let's 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 our and check out our Diversity Equity and Inclusion actions at !
#LI-FRA #LI-Onsite
#Accelerator
La diversité et l'inclusion sont les piliers de la manière dont Sanofi fonctionne et font partie intégrante des valeurs de la société. Nous respectons la diversité de nos collaborateurs, tout comme celle de leurs parcours et expériences. Afin de bénéficier de la richesse qu'apporte la diversité, Sanofi s'engage à donner l'exemple en matière d'inclusion et à favoriser un environnement de travail où les différences peuvent prospérer et contribuer à aider les patients à retrouver une vie meilleure.
Dans le cadre de son engagement diversité, Sanofi accueille et intègre des collaborateurs en situation de handicap.
Bienvenue chez Sanofi
Le contenu du poste est libellé en anglais car il nécessite de nombreuses interactions avec nos filiales à l'international, l'anglais étant la langue de travail.
This job offer is accessible to all, regardless of gender.
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.
Hellowork a estimé le salaire pour ce métier à Paris
Le recruteur n'a pas communiqué le salaire de cette offre mais Hellowork vous propose une estimation (fourchette variable selon l'expérience).
Estimation basée sur les données INSEE et les offres d’emploi similaires.
Estimation basse
43 800 € / an 3 650 € / mois 24,07 € / heureSalaire brut estimé
52 500 € / an 4 375 € / mois 28,85 € / heureEstimation haute
65 000 € / an 5 417 € / mois 35,71 € / heureCette information vous semble-t-elle utile ?
Merci pour votre retour !
- Paris - 75
- CDI
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