Marco Berta-AI Engineer - LLMs
Check rate
Experience
AI Engineer - LLMs
Uni-Systems
- Handled complaints by AI for the European Commission/DG-Grow CHAI project
- Collaborated on the backend of a software using retrieval augmented generation and connected to a large language model to search for similar complaints
- Drafted replies automatically, saving 90% of manual case handling time
Data Analytics Engineer - DevOps
ZF Windpower
- Developed a failure prediction model for wind turbines deployed to the cloud with CI/CD pipelines (Azure DevOps), resulting in a 0.4% increase in annual energy production at park level
Data Scientist
Barry-Callebaut
Built an AI app to suggest the best settings for critical process parameters to maximize cocoa production, saving €100k per month per production line
Collaborated with data engineers to build ML/AI pipelines on local servers and on MS Azure cloud; deployed real-time dashboards that saved approximately €400k per year
Conducted predictive maintenance using Weibull analysis with Python, improving dosing accuracy and decreasing downtime
Industry experience
See where this freelancer has spent most of their professional time.
Experienced in Energy, Information Technology, Government and Administration, and Food and Beverage.
Business area experience
See which departments and functions this freelancer has contributed to most.
Experienced in Information Technology, Business Intelligence, Customer Service, Operations, and Quality Assurance.
Summary
Data Science expert with 10+years of experience in product development. Specific expertise in NLP, predictive ML/AI models and data pipelines. Aiming to automatize repetitive tasks and help projects with clear ROI.
Skills
- Programming Languages: Python, Mysql
- Statistics And Probability
- Machine Learning: Sci-Kit Learn, Supervised/Unsupervised Models
- Predictive Maintenance: Adtk, Lstm Nn
- Deep Learning: Tensorflow, Keras, Pytorch
- Natural Language Processing: Langchain
- Model Deployment: Fastapi, Docker
- Cloud Computing: Azure, Databricks
- Code Versioning: Git, Devops
- Agile Methods: Kanban, Scrum
Languages
Education
OpenClassrooms - Centrale Supélec
M.Sc Data Science · Data Science · Gif-sur-Yvette, France
Manchester University
Ph.D Materials Science · Materials Science · United Kingdom
Certifications & licenses
Azure Data Scientist
Microsoft
DevOps And Software Engineering
IBM
Scalable ML With Databricks - Time Series Analysis
Databricks
Statistics
Experience
Expertise
Qualifications
Profile
Frequently asked questions
Have questions? Find more information here.
Marco is based in Marseille, France.
Marco speaks the following languages: English (Native), Italian (Native), French (Advanced), Dutch (Intermediate).
Marco has at least 5 years of experience. During this time, Marco has worked in at least 3 different roles and for 3 different companies. The average length of individual experience is 2 years and 8 months. Note that Marco may not have shared all experience and actually has more experience.
Based on recent experience, Marco would be well-suited for roles such as: AI Engineer - LLMs, Data Analytics Engineer - DevOps, Data Scientist.
Marco's most recent position is AI Engineer - LLMs at Uni-Systems.
In recent years, Marco has worked for Uni-Systems, ZF Windpower, and Barry-Callebaut.
Marco is most experienced in industries like Energy, Information Technology, and Government and Administration. Marco also has some experience in Food and Beverage.
Marco is most experienced in business areas like Information Technology, Business Intelligence, and Customer Service. Marco also has some experience in Operations and Quality Assurance.
Marco holds a Doctorate in Materials Science from Manchester University and a Master in Data Science from OpenClassrooms - Centrale Supélec.
Marco has 3 certificates. These include: Azure Data Scientist, DevOps And Software Engineering, and Scalable ML With Databricks - Time Series Analysis.
The availability of Marco needs to be confirmed.
Daily rate distribution
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Average rates for similar positions
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The average daily rate is the mean of all daily rates from recent contracts of comparable freelancers on our platform.
The median daily rate is the middle value of all daily rates — half of comparable freelancers charge less, half charge more. Unlike the average, it is barely affected by outliers.
Calculated based on our freelancers’ daily rates as of 7 Sep 2026. Actual rates may vary depending on seniority level, experience, skill specialization, project complexity, and engagement length.
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