Martin Tabikh - Machine Learning Engineer / LLMOps

Q: Where is Martin based?

Martin is based in Paris, France and can operate in on-site , hybrid , and remote work models.

Q: What languages does Martin speak?

Martin speaks the following languages: English (Advanced), French (Intermediate) .

Q: How many years of experience does Martin have?

Martin has at least 11 years of experience. During this time, Martin has worked in at least 9 different roles and for 11 different companies . The average length of individual experience is 1 year . Note that Martin may not have shared all experience and actually has more experience.

Q: What is Martin's latest experience?

Martin's most recent position is Machine Learning Engineer / LLMOps at AXA Global Operations .

Q: What companies has Martin worked for in recent years?

In recent years, Martin has worked for AXA Global Operations , PwC , Thales Digital Factory , L’Oréal , and Aware (Les Mousquetaires Group) .

Q: Which industries is Martin most experienced in?

Martin is most experienced in industries like Telecommunication , Education , and Professional Services . Martin also has some experience in Insurance , Food and Beverage , and Beauty and Cosmetics .

Q: Which business areas is Martin most experienced in?

Martin is most experienced in business areas like Information Technology (IT) , Product Development , and Business Intelligence . Martin also has some experience in Research and Development (R&D) .

Q: Which industries has Martin worked in recently?

Martin has recently worked in industries like Education , Professional Services , and Telecommunication .

Q: Which business areas has Martin worked in recently?

Martin has recently worked in business areas like Information Technology (IT) , Business Intelligence , and Product Development .

Recommended expert

Paris, France

Experience

Jan 2025 - Present

1 year 3 months

Machine Learning Engineer / LLMOps

AXA Global Operations

MLOps/LLMOps lead for the Secure GPT project, an internal conversational assistant based on generative AI that facilitates secure employee interaction with their professional documents.
Design and implementation of preprocessing, ingestion, inference, and evaluation pipelines for language models.
Technologies: Azure Functions, Poetry, Typescript, Python, Azure OpenAI, Bicep, Azure DevOps

Apr 2024 - Present

2 years

AI Engineer

PwC

Developed and deployed Generative AI applications including:
Virtual Scrum Assistant: automated stand-up meetings and Jira task updates, improving team efficiency.
Intelligent Payment Reminder System: automated invoice tracking via email analysis.
Proposal Maker: extracts relevant proposals similar to the provided description from databases and automatically generates a draft proposal.
Excel File Analysis Tool: assisted with the analysis and transformation of corporate financial reports.
Technologies: OpenAI, LLM, Kubernetes, LangChain, Streamlit, RAG

Dec 2023 - Apr 2024

5 months

Machine Learning Engineer

Thales Digital Factory

Built intelligent classifiers to categorize system failures.
Developed NLP models using sentence embeddings based on Transformers and LLMs.
Technologies: Python, Azure, SpaCy, Docker, SentenceTransformers

May 2023 - Nov 2023

7 months

Data Engineer / Machine Learning Engineer

L’Oréal

Led NLP analysis of customer reviews from nine countries to identify improvement areas.
Optimized the product library's search efficiency, reducing execution time by 50%.
Built data ingestion and inference pipelines using GCP Vertex AI and BigQuery.
Technologies: Python, dbt, Vertex AI, BigQuery, Docker

Nov 2022 - May 2023

7 months

Data Engineer

Aware (Les Mousquetaires Group)

Built distributed algorithms to clean and correct supplier and product names in a data lake.
Created a manual correction interface using Streamlit on Azure.
Technologies: Python, Azure, PySpark, Databricks, Streamlit, Docker

Jan 2022 - Oct 2022

10 months

Data Engineer / Machine Learning Engineer

Pernod Ricard

Developed weekly recommendations for sales reps in India, optimizing travel routes.
Implemented CI/CD pipelines and built an API for product recommendations.
Technologies: Python, Azure DevOps, Streamlit, Docker, Azure Functions

Mar 2021 - Aug 2022

1 year 6 months

Machine Learning Engineer

Huawei

Developed Python libraries for training and deploying Transformer-based models for tabular data.
Applied hyperparameter optimization algorithms like Successive Halving and Bayesian Hyperopt.
Technologies: Python, PyTorch, Pandas, Deep Learning

Jan 2021 - Present

5 years 3 months

Mentor

OpenClassrooms

Mentored eight students in the Data Scientist, Machine Learning Engineer, and Python Developer tracks.

Feb 2020 - Jul 2020

6 months

Volunteer Machine Learning Engineer

Data For Good

Located CO₂ emissions using NASA’s OCO-2 satellite data.
Detected carbon concentration peaks using autoencoders.
Aggregated known CO₂ emission sources from existing inventories.
Utilized meteorological data to identify potential emission sources.
Technologies: Python, Autoencoders, Folium, GeoPandas

Mar 2018 - Feb 2021

3 years

5G Software Engineer & NLP Machine Learning Engineer

Nokia

Bug analysis automation:
Developed models to predict the optimal resolution team.
Used unsupervised NLP models to identify similar bugs.
5G Level 2 features development:
Drafted system engineering specifications.
Increased product throughput by 8x.
Collaborated with international teams (Finland, Poland).
Technologies: Python, C++, NLP, AWS, Docker, Jenkins, SpaCy, XGBoost

Mar 2015 - Feb 2018

3 years

5G Software Engineer

Orange

Developed analytical solutions that increased 5G throughput by 20% in C++.
Applied optimization techniques, probabilistic models, statistics, and machine learning (K-means).
Technologies: Python, C++, Clustering, Optimization

Industries Experience

See where this freelancer has spent most of their professional time. Longer bars indicate deeper hands-on experience, while shorter ones reflect targeted or project-based work.

Experienced in Telecommunication (7.5 years), Education (5 years), Professional Services (2 years), Insurance (1 year), Food and Beverage (1 year), and Aerospace and Defense (0.5 years).

Telecommunication

Education

Professional Services

Insurance

Food and Beverage

Aerospace and Defense

Business Areas Experience

The graph below provides a cumulative view of the freelancer's experience across multiple business areas, calculated from completed and active engagements. It highlights the areas where the freelancer has most frequently contributed to planning, execution, and delivery of business outcomes.

Experienced in Information Technology (11 years), Product Development (7.5 years), Business Intelligence (2 years), and Research and Development (1 year).

Information Technology

Product Development

Business Intelligence

Research and Development

Summary

Machine Learning Engineer and Data Engineer with over 10 years of experience in software engineering, specializing in the development and deployment of scalable machine learning (ML) models and APIs. Proven track record of collaborating with global leaders like Huawei, Thales, Nokia, and PwC to deliver AI and ML solutions. Expertise in Natural Language Processing (NLP), performance optimization, and building innovative applications leveraging Generative AI.

Skills

Programming Languages: Python, C++, Sql
Machine Learning & Ai: Scikit-learn, Pytorch, Llms, Openai, Langchain, Pandas
Cloud & Big Data: Aws (Ec2, S3), Gcp (Vertex Ai, Bigquery), Azure (Certified Dp-203)
Devops & Ci/cd: Docker, Kubernetes, Terraform, Git, Azure Devops
Data Engineering: Pyspark, Data Pipelines, Dbt, Databricks
Agile Development: Scrum, International Collaboration

Languages

English

Advanced

French

Intermediate

Education

Télécom ParisTech

Ph.D. & Engineering Degree · Paris, France

Université Paris-Saclay

Master’s degree, Digital Economics and Strategic Management · Digital Economics and Strategic Management · Saclay, France

Certifications & licenses

Azure Certified DP-203

Profile

Created

October 2025

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Frequently asked questions

Do you have questions? Here you can find further information.

Where is Martin based?

Martin is based in Paris, France and can operate in on-site, hybrid, and remote work models.

What languages does Martin speak?

Martin speaks the following languages: English (Advanced), French (Intermediate).

How many years of experience does Martin have?

Martin has at least 11 years of experience. During this time, Martin has worked in at least 9 different roles and for 11 different companies. The average length of individual experience is 1 year. Note that Martin may not have shared all experience and actually has more experience.

What roles would Martin be best suited for?

Based on recent experience, Martin would be well-suited for roles such as: Machine Learning Engineer / LLMOps, AI Engineer, Machine Learning Engineer.

What is Martin's latest experience?

Martin's most recent position is Machine Learning Engineer / LLMOps at AXA Global Operations.

What companies has Martin worked for in recent years?

In recent years, Martin has worked for AXA Global Operations, PwC, Thales Digital Factory, L’Oréal, and Aware (Les Mousquetaires Group).

Which industries is Martin most experienced in?

Martin is most experienced in industries like Telecommunication, Education, and Professional Services. Martin also has some experience in Insurance, Food and Beverage, and Beauty and Cosmetics.

Which business areas is Martin most experienced in?

Martin is most experienced in business areas like Information Technology (IT), Product Development, and Business Intelligence. Martin also has some experience in Research and Development (R&D).

Which industries has Martin worked in recently?

Martin has recently worked in industries like Education, Professional Services, and Telecommunication.

Which business areas has Martin worked in recently?

Martin has recently worked in business areas like Information Technology (IT), Business Intelligence, and Product Development.

What is Martin's education?

Martin holds a Doctorate from Télécom ParisTech and a Master in Digital Economics and Strategic Management from Université Paris-Saclay.

Does Martin have any certificates?

Martin has 1 certificate: Azure Certified DP-203.

What is the availability of Martin?

Martin is immediately available part-time for suitable projects.

What is the rate of Martin?

Martin's rate depends on the specific project requirements. Please use the Meet button on the profile to schedule a meeting and discuss the details.