Senior Nlp Engineer

As part of the AI department, you will work side to side with a team of AI engineers, architects and data scientists and engineers located in multiple countries to perform research and development on AI-based technologies applied to Healthcare Analytics.

**Responsibilities**:
**1. Development**:

- Design and develop advanced NLP models, such as entity disambiguation, text generation, machine translation, sentiment analysis that will form the core of our solutions.
- Define appropriate datasets for language learning.
- Experiment with the latest advancements in NLP research and incorporate them into development projects.
- Manage project timelines, milestones, and deliverables autonomously, ensuring timely and successful completion of projects.
- Identify risks and potential roadblocks, and proactively develop strategies to mitigate them.

**2. Optimization and Enhancement**:

- Analyze and improve the performance of existing NLP models in terms of accuracy, speed and efficiency.
- Optimize text processing pipelines to handle large volumes of data.

**3. Collaboration**:

- Work closely with other engineers, data scientists and researchers to solve complex natural language processing challenges.
- Participate in meetings and discussions to share ideas, findings, and recommendations with internal stakeholders.

**4. Validation and testing**:

- Design testing protocols to evaluate the quality and performance of NLP models.
- Train the developed model and run evaluation experiments.
- Stay updated on the latest trends and advancements in NLP by reading research papers, and tracking relevant open source projects.[G[1] [JA2]

**5. Team Leadership, Management and Mentorship**:

- Manage a team of 5 to 6 engineers, from Junior to Senior level.
- Provide guidance, mentorship, and support to the AI engineering team, fostering a collaborative and innovative work environment.
- Offer constructive feedback, identify areas for improvement on strong and soft skills
- Design and deliver training programs to enhance team member’s technical skills, soft skills and domain knowledge.
- Participate to annual performance review and provide recommendations and action plan for career development of his/her manages.
- Work with the VP of AI and Product managers to organize the delivery and capacity management over several releases

**6. Interns Tutoring**:

- Design and oversee an internship program that provides valuable learning experiences for interns while contributing to the team’s projects.
- Mentoring of interns, ensuring they receive guidance and support throughout their internship period.

Evaluate intern’s progress, provide regular feedback, and contribute to their professional development by identify growth areas.

**Required Skills**:

- Advanced expertise in Natural Language Processing, with a deep understanding of language models, syntax, semantics, etc.
- Experience with managing and leading technically a team of AI engineers
- Master degree or PhD in Engineering, Data Science or Computer Science
- Proficiency in machine learning techniques, including deep learning frameworks and algorithms (Pytorch, TensorFlow)
- Strong programming skills, preferably in languages such as Python, SQL
- Experience with NLP libraries and tools, like Transformers and Huggingface.
- Experience in fine-tuning pre-trained large language models for specific tasks
- Solid Hands-on experience on Databricks is a plus.
- Solid knowledge of data preprocessing, feature engineering, and model evaluation techniques.
- Excellent problem-solving skills and the ability to address complex NLP challenges effectively.
- Strong communication skills in English to collaborate with cross-functional teams

Type d'emploi : CDI
Statut : Cadre

Rémunération : 60 000,00€ à 80 000,00€ par an

Avantages:

- Prise en charge du transport quotidien
- RTT

Programmation:

- Du lundi au vendredi

Types de primes et de gratifications:

- Prime annuelle

Lieu du poste : Télétravail hybride (75003 Paris 3e)