Devoteam
Senior Data Scientist / Generative AI Specialist
Hybrid · Tunis, Tunisia
This hybrid role accepts applicants from: Tunisia.
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About the role
Job Description
We are seeking a passionate Senior Data Scientist with at least 5 years of experience in designing, building, and deploying AI and Machine Learning applications.
As an expert in Machine learning, Generative AI, LLMs, MLOps, and AI solution design, you will play a pivotal role in designing, architecting and delivering high-value AI projects for clients, while driving best practices across our technical community.
Key Responsibilities
Client Advisory: Engage with clients and key stakeholders to identify AI transformation opportunities and understand business goals and requirements.
Architecture & Generative AI: Collaborate with client teams to architect, design, and deploy cutting-edge solutions powered by Generative AI and Large Language Models (LLMs).
Modeling & Tech stack Selection: Evaluate, select, and fine-tune ML/DL/ LLM models tailored to specific business challenges using the adequate tools from AI ecosystems.
Production & MLOps: Drive DevOps and MLOps best practices (CI/CD, containerization, orchestration) to automate deployment, monitoring, and performance tracking of production AI models.
Qualifications
Technical Expertise
Generative AI: Deep proficiency in Transformer architectures and foundation models LLMs/SLMs diffusion models,
Information retrieval: grounding LLMs with the right Retrieval-Augmented Generation (RAG) techniques.
Machine Learning & Deep Learning: Advanced expertise in Python and core frameworks (PyTorch, TensorFlow, Scikit-Learn, Transformers; etc.).
Cloud & Infrastructure: Practical experience with cloud platforms (GCP or Azure) and containerization tools (Docker, Kubernetes).
Data Engineering: Solid capabilities in data collection, cleaning, feature engineering, and data pipeline design and deployment.
Computer Vision / TTS/ STT: Experience or knowledge in image recognition, object detection, VLMs, and transcription models.
Soft Skills & Personal Attributes
Communication: Excellent written and verbal communication skills in Arabic and in English, with the ability to explain complex technical concepts to non-technical stakeholders.
Problem-Solving: Strong analytical mindset capable of converting ambiguous business problems into structured technical solutions.
Mobility & Flexibility: Fully willing and available for business travel between Tunis and Riyadh (KSA).
Additional Information
Education & Experience
Master’s or Engineering degree in Computer Science, Data Science, AI Engineering, or a related quantitative field.
5+ years of hands-on experience in Data Science , Machine Learning and AI, with a proven track record of deploying models and AI applications to production.
Qualifications
- Generative AI: Deep proficiency in Transformer architectures and foundation models LLMs/SLMs diffusion models,
- Information retrieval: grounding LLMs with the right Retrieval-Augmented Generation (RAG) techniques.
- Machine Learning & Deep Learning: Advanced expertise in Python and core frameworks (PyTorch, TensorFlow, Scikit-Learn, Transformers; etc.).
- Cloud & Infrastructure: Practical experience with cloud platforms (GCP or Azure) and containerization tools (Docker, Kubernetes).
- Data Engineering: Solid capabilities in data collection, cleaning, feature engineering, and data pipeline design and deployment.
- Computer Vision / TTS/ STT: Experience or knowledge in image recognition, object detection, VLMs, and transcription models.
- Communication: Excellent written and verbal communication skills in Arabic and in English, with the ability to explain complex technical concepts to non-technical stakeholders.
- Problem-Solving: Strong analytical mindset capable of converting ambiguous business problems into structured technical solutions.
- Mobility & Flexibility: Fully willing and available for business travel between Tunis and Riyadh (KSA).
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