Time since we first saw it
Day 36
Similar jobs usually come down between day 8 and day 76.
At Devoteam, jobs usually come down by about day 22.
From 5,460 similar postings that came down, and 152 of Devoteam’s. Coming down is not always a hire.
Senior Data Scientist / Generative AI Specialist
Reads like an ML Engineer role: training models and running them in production.
Tunis, Tunis, Tunisia
Live, first seen by us 36 days ago- Pay
- Pay not listed
- Work setting
On-site — work setting source
Work setup in the employer’s posting: On-site
From the employer’s posting- Employment
Full-time — employment source
Employment type in the employer’s posting: Full-time
From the employer’s posting
What you’ll work on
Full postingArchitect and deploy Generative AI and LLM-powered solutions with client teams
Evaluate, select and fine-tune ML, DL and LLM models for business problems
Automate deployment, monitoring and tracking of production AI models with MLOps
From the employer’s posting
Collaborate with client teams to architect, design, and deploy cutting-edge solutions powered by Generative AI and Large Language Models (LLMs)
Evaluate, select, and fine-tune ML/DL/ LLM models tailored to specific business challenges
Drive DevOps and MLOps best practices (CI/CD, containerization, orchestration) to automate deployment, monitoring, and performance tracking of production AI models.
What you’ll bring
All qualificationsCore experience
- Communication: Excellent written and verbal communication skills in Arabic and in English, with the ability to explain complex technical concepts to non-technical stakeholders.
- 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.
Qualification wording
Communication: Excellent written and verbal communication skills in Arabic and in English, with the ability to explain complex technical concepts to non-technical stakeholders.
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.
Education & alternatives
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.
About Devoteam
Devoteam is a leading consulting firm focused on digital strategy, tech platforms, and cybersecurity.
In the employer’s words · Read in context
Posting record
Report an error- Status in our records
- Live
- First seen by us
- Oct 8, 202636 days ago
- Recorded sightings
- 300
- Last seen by us
- Nov 13, 2026
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
How this job compares
Devoteam is hiring
44 open jobs
Open jobs by the week we first saw them, last 12 weeks.
- ML Engineer hiring is steady
- Takes jobs down at a usual pace
- 7% of open jobs were reposted
See how this role fits your experience
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Python
- Azure
- Docker
- GCP
- Kubernetes
- PyTorch
- scikit-learn
- TensorFlow
Where the posting names them
- 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).
- 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.
Your next step
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Applying through SmartRecruiters
- Uploading your resume fills in the application form for you, so check what it filled before you send.
Already applied? Track this application
Demand for ML Engineer roles
New ML Engineer postings at the employers we follow are up 10% over the last 6 weeks compared with the 6 before.
Each bar is one week of new postings. The darkest bars are the last 6 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
About the role
We file this job under ML Engineer, by the work the posting describes.
ML engineers put machine learning models into products. They write the code that trains, ships, serves and monitors models so a recommendation or prediction works for real users.
Postings ask for strong Python and software engineering, a framework such as PyTorch, cloud services, and more and more often experience with large language models.
A data scientist often works out which model to build; an ML engineer makes it run reliably in production.
US government figures for computer and information research scientists
- Median yearly pay, May 2025
- $140,300
- Expected change, 2025 to 2035
- 21.8% more jobsagainst 3.5% for all jobs
The government has no code for ML engineers, so these figures are for the closest group, computer and information research scientists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1221.
Job description
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.
Company Description
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.
Source details
Source notes
Source excerptsSelected passages from the saved posting. Check the full description for conditions and exceptions.
- Pay
No pay amount identified in the saved description.
- Location & working pattern
Tunis, Tunis, Tunisia
Working pattern and location restrictions need checking in the full posting.
- Work authorization
No clear work-authorization passage found. Eligibility is unconfirmed.