The Role
Develop, fine-tune, deploy, and improve machine learning and natural language processing models, including GPT and BERT. Build APIs and cloud-based AI solutions using AWS, serverless architectures, LLM frameworks, vector databases, and prompt design. Apply responsible AI principles, collaborate with technical and business teams, follow Agile and DevOps practices, and support insurance-domain use cases.
Summary Generated by Built In
Essential skills for the role:
- 1. Good exposure to Data science fundamentals besides developing and deploying models for language processing tasks. Improve the performance of existing models.
2. Familiarity with language models like GPT and BERT, and the ability to fine-tune or adapt them for specific use cases.
3. Familiarity with cloud services, ideally AWS ecosystem, and serverless architectures, to effectively deploy and manage AI solutions.
4. Ability in creating APIs to integrate machine learning models into existing applications or services.
5. Proficiency in programming languages like Python, JavaScript.
6. Experience around NLP libraries and frameworks for text processing, sentiment analysis, named entity recognition, Intent classification, and other language-related tasks, such as scikit-learn, NumPy, NLTK, SpaCy.
7. Work closely with LLM frameworks such as LangChain, OpenAI’s APIs, Vector databases, and apply Prompt design techniques.
8. Hands-on experience with some of the most popular ML frameworks (e.g., TensorFlow, PyTorch, Transformers, etc.).
9. Awareness of the AI controllability, including privacy, bias, fairness, transparency, and the ability to implement AI systems responsibly and in compliance with legal and ethical guidelines.
10. Willingness to stay updated with the latest developments in AI/ML and continuously learn new techniques and best practices.
11. Experience working in insurance Domain.
12. Experience working in Agile/Scrum methodologies and frameworks (JIRA), RESTful APIs, and DevOps principles.
Collaboration:
- 1. Effective collaboration alongside developers and cross-functional teams. Ability to clearly communicate technical concepts to both technical and non-technical team members.
2. Advocate for software engineering good practices (e.g., version control, documentation, test-driven development).
3. Strong problem-solving skills to approach complex AI challenges and devise innovative solutions.
4. Strong verbal and written communication skills in English.
5. Ability to work independently and as part of a team.
Profil
Formation et Expérience :
De formation supérieure Bac +4/5 (type Ecole d'ingénieur, universitaire) avec une expérience de 3 ans en tant qu'ingénieur ML/AI
Skills Required
- Higher education qualification at Bac+4/5 level, such as an engineering school or university degree
- Three years of experience as a Machine Learning or AI Engineer
- Data science fundamentals and experience developing and deploying NLP models
- Experience with GPT and BERT, including fine-tuning or adaptation
- Familiarity with AWS cloud services and serverless architectures
- Ability to create APIs integrating machine learning models into applications or services
- Proficiency in Python and JavaScript
- Experience with NLP libraries and frameworks, including scikit-learn, NumPy, NLTK, or spaCy
- Experience with LangChain, OpenAI APIs, vector databases, and prompt design
- Hands-on experience with TensorFlow, PyTorch, Transformers, or similar ML frameworks
- Understanding of responsible AI, including privacy, bias, fairness, transparency, and compliance
- Experience working in the insurance domain
- Experience with Agile/Scrum, JIRA, RESTful APIs, and DevOps principles
- Strong collaboration, communication, problem-solving, documentation, version control, and testing skills
- Fluency in written and spoken English
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The Company
What We Do
AXONE Systems is a Morocco-based IT consulting and engineering firm operating from Rabat. It supports major banking, telecommunications, and industrial organizations through senior technology consulting, staff augmentation, IT recruitment, cloud and DevOps engineering, observability, managed SOC/NOC cybersecurity operations, and AI-augmented application development. The company also delivers projects, operates 24/7 monitoring services, and helps clients modernize critical systems across Morocco and Europe.
