Senior Data Scientist / Generative AI Specialist
Confirmed on the employer's own hiring board on Oct 14, 2026. First seen by Alion on Oct 7, 2026. Devoteam scores A on the Alion truth index.
About Devoteam
Devoteam is a leading consulting firm focused on digital strategy, tech platforms, and cybersecurity. By combining creativity, tech, and data insights, we empower our customers to transform their business and unlock the future.
With 30 years’ experience and more than 11,000 employees across Europe, the Middle East, and Africa, Devoteam promotes responsible tech for people and works to create better change.
Creative tech for Better Change.
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 anddelivering 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.
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).
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.