Senior Machine Learning Engineer - LLM- AI Teams xfm
Senior Machine Learning Engineer - LLM- AI Teams xfm
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Job Description
What youll do
At Doctolib were on a mission to transform the way healthcare is delivered by leveraging the power of AI. As a Machine Learning Engineer youll play a critical role in developing and implementing cuttingedge 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 youll have the opportunity to work with a team of talented Machine Learning Engineers software engineers and healthcare professionals to develop and deploy AI models that will have a real impact on peoples lives.
Doctolib is looking for a Senior Machine Learning Engineer to join our dedicated feature team in charge of shaping the new consultation experience powered by a medical assistant.
Lets 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 have:
- Masters or Ph.D. degree in Computer Science Data Science or a related field.
- At least 5 years of experience working on Language Models including pretrained models like GPT (Generative Pretrained 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 finetuning 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 Machine Learning Engineer position.
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 youre welcome to apply for
- Parental care program 1 month off in addition to the legal parental leave and 05 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
- A flexible workplace policy offering both hybrid and officebased 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
The interview process
- HR Screen
- Technical Deep Dive
- System Design
- Behavioral Interview
- Final interview with the DS Director
- Reference check and criminal records check
- Offer!
Job details
- Permanent position
- Full Time
- Workplace : Doctolib Paris office in Levallois Perret
- 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 dont 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 theres any way we can make the interview process smoother for you!
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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 (at).
Required Experience:
Senior IC
Employment Type
Full Time
