Senior Data Scientist - LLM (x/f/m) - AI Teams

Posted 2 Days Ago
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Paris, Île-de-France
Senior level
Healthtech • Software
The Role
As a Senior Data Scientist at Doctolib, you will develop and implement AI solutions aimed at transforming healthcare delivery. Your role involves creating and adapting model architectures, deploying algorithms, and continuously improving AI models for a medical assistant focused on enhancing practitioner support.
Summary Generated by Built In

What you’ll do

At Doctolib, we're on a mission to transform the way healthcare is delivered by leveraging the power of AI. As a Data Scientist, you'll play a critical role in developing and implementing cutting-edge AI solutions that will enable us to create an AI medical assistant that will support the Healthcare Professionals in their day to day job.

In this role, you'll have the opportunity to work with a team of talented data scientists, software engineers, machine learning engineers and healthcare professionals to develop and deploy AI models that will have a real impact on people's lives.

Doctolib is looking for a Senior Data Scientist to join our dedicated feature team in charge of shaping the new consultation experience powered by a medical assistant.

Let’s make a direct impact of your work with easy access to final users (practitioners) or subject matter experts to empower our Clinical Product with AI.

Your responsibilities include but are not limited to:

  • Create, find or adapt model architecture, annotation or validation strategies to improve our speech recognition, summarization and medical data structuration engines
  • Implement your ideas and test them
  • Deploy your algorithms in production guided by our ML platform team
  • Measure the uplift and continuously improve your approach 

Who you are

You could be our next team mate if you: 

  • Master's or Ph.D. degree in Computer Science, Data Science, or a related field.
  • At least 5 years of experience working on Language Models, including pre-trained models like GPT (Generative Pre-trained Transformer) and BERT (Bidirectional Encoder Representations from Transformers).
  • Proven track record of working on NLP projects, with a focus on LLM and RAG frameworks.
  • Experience with deep learning frameworks such as TensorFlow or PyTorch for training and fine-tuning LLM models.

If you possess these qualifications and have a passion for pushing the boundaries of LLM NLP and RAG frameworks, we invite you to apply for this senior data scientist position.


>>> If you don’t recognize yourself in the requirements above don’t hesitate to take a look at our other openned positions in AI Teams

What we offer

  • Free Health Insurance for you & your family
  • Quarterly or monthly bonus (based on your position)
  • Up to 14 days of RTT 
  • Transparent internal mobility opportunities you're welcome to apply for
  • Parental care program (1 month off in addition to the legal parental leave and 0,5 days off per child when the school starts)
  • Solidarity Days (2 days per year to help health charities and create a positive social impact)
  • Wellbeing program (free mental health and coaching offer with our partner moka.care)
  • A flexible workplace policy offering both hybrid and office-based mode
  • Flexibility days allowing to work in EU countries and the UK 10 days per year 
  • Lunch voucher with Swile card
  • Work Council subsidy to refund part of sport club membership or creative class
  • Bicycle subsidy
  • Reimbursement of public transportation 
  • Relocation support for international mobilities
  • Slean voucher for home-office furniture

The interview process 

  • HR Screen
  • Behavioral Interview with 2 members in Data Science team
  • Technical Deep Dive(Question+Coding)
  • System Design
  • Final interview with the DS Director
  • At least one reference check and A copy of your criminal records (“extrait de casier judiciaire B3”) 


Job details

  • Permanent position
  • Full Time 
  • Workplace : Paris area
  • Work mode: hybrid 3 days/week in the office
  • Start date: asap
  • Remuneration : fix + bonus on objectives (according to your profile)

At Doctolib, we believe in improving access to healthcare for everyone - regardless of where you come from, what you look like. This translates into our recruitment process: Doctolib is an equal opportunity employer. We don't just accept diversity at Doctolib, we respect and celebrate it!

The more diverse ideas are heard, the more our product will truly improve healthcare for all. You are welcome to apply to Doctolib, regardless of your gender, religion, age, sexual orientation, ethnicity, disability, or place of origin. If you have a disability, let us know if there's any way we can make the interview process smoother for you! 

All the information transmitted via this form is processed by Doctolib for the purpose of managing applications. For more information on how Doctolib processes your application data, click here.

If you wish to exercise your rights or if you have any questions about the processing of your data, you can write to us at hr.dataprivacy(at)doctolib.com.


Top Skills

PyTorch
TensorFlow
The Company
HQ: Île-de-France
3,117 Employees
On-site Workplace

What We Do

Since Doctolib's creation in 2013, we have had one purpose: strive for a healthier world.

1. We aim to improve the daily lives of care teams by providing them with a new generation of technologies and services.

2. We aim to improve health for all, by offering a fast and frictionless journey for all care episodes, creating new ways for people to receive care and empowering them to become actors of their health.

At Doctolib, we are honored to work in the healthcare field and we believe that innovation in healthcare should be handled differently. We apply 4 guiding principles in everything we do:

1. We create helpful solutions for care teams and people.
2. We serve everyone equally and create well-designed and accessible technologies.
3. We team up with our users to strive for a healthier world and act as one team.
4. We protect our users' privacy. It’s their health, their data.

To achieve our purpose, we are assembling a team dedicated to improving healthcare, with a human-centric approach and an entrepreneurial mindset.

www.doctolib.com

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