![Wessim Slimi](https://jobicy.com/react/themes/app/images/avatar.jpg) Wessim Slimi # Lead Data & AI Engineer Open to offers · Member since 27 Jul 2026 [Message](https://jobicy.com/dashboard-page.md) ShareLocationMarseille, FranceDesired salaryUnspecifiedWork preferenceHybrid / Full Time, Contract, FreelanceExperience levelLead * [Overview](#overview) * [Portfolio 0](#portfolio) * [Services 0](#services) ## About Professional summaryI am a data and AI engineer specializing in real-time distributed processing, streaming architectures, and production-grade machine learning systems. I design, tune, and operate Kafka, Flink, Spark, and Iceberg platforms at scale, with a strong focus on low-latency, reliability, and operational excellence. My work has centered on maritime data platforms where I have built stateful streaming jobs, lakehouse sinks, and cloud-native pipelines on AWS. I also work on applied AI in production, including agentic systems, RAG, embedded ML inference, and LLMOps. I have delivered solutions using LangChain, LangGraph, Langfuse, MLflow, SageMaker, and ONNX, with measurable business impact such as fuel savings, faster queries, and improved monitoring and decision support. My background combines mathematics, computational engineering, and hands-on software development. This allows me to approach problems from both a modeling and systems perspective, whether I am building predictive maintenance pipelines, anomaly detection workflows, or scalable feature engineering systems. I have led technical initiatives in cross-functional environments, collaborating with data scientists, domain experts, and platform teams. I am comfortable owning architecture decisions, enforcing engineering standards, and ensuring that production systems remain observable, testable, and maintainable. I am open to opportunities where I can contribute to data engineering, streaming platforms, and AI-enabled products, especially in environments that value strong engineering rigor and real-world impact. ## Skills 46 capabilities[Agentic AI](https://jobicy.com/talent/agentic-ai.md)[Agile](https://jobicy.com/talent/agile.md)[Anomaly Detection](https://jobicy.com/talent/anomaly-detection.md)[Apache Airflow](https://jobicy.com/talent/apache-airflow.md)[Apache Flink](https://jobicy.com/talent/apache-flink.md)[Apache Hive](https://jobicy.com/talent/apache-hive.md)[Apache Iceberg](https://jobicy.com/talent/apache-iceberg.md)[Apache Kafka](https://jobicy.com/talent/apache-kafka.md)[Apache Spark](https://jobicy.com/talent/apache-spark.md)[AWS](https://jobicy.com/talent/aws.md)[AWS Kinesis](https://jobicy.com/talent/aws-kinesis.md)[Azure](https://jobicy.com/talent/azure.md)[C++](https://jobicy.com/talent/c-plus-plus.md)[Classification](https://jobicy.com/talent/classification.md)[CloudFormation](https://jobicy.com/talent/cloudformation.md)[CPLEX](https://jobicy.com/talent/cplex.md)[Cvxopt](https://jobicy.com/talent/cvxopt.md)[Databricks](https://jobicy.com/talent/databricks.md)[Deep Learning](https://jobicy.com/talent/deep-learning.md)[DevOps](https://jobicy.com/talent/devops.md)[Docker](https://jobicy.com/talent/docker.md)[GCP](https://jobicy.com/talent/gcp.md)[Git](https://jobicy.com/talent/git.md)[GitHub Actions](https://jobicy.com/talent/github-actions.md)[Gitlab CI](https://jobicy.com/talent/gitlab-ci.md)[Gradient Boosting](https://jobicy.com/talent/gradient-boosting.md)[Gurobi](https://jobicy.com/talent/gurobi.md)[Java](https://jobicy.com/talent/java.md)[Kafka Streams](https://jobicy.com/talent/kafka-streams.md)[Kubernetes](https://jobicy.com/talent/kubernetes.md)[Langfuse](https://jobicy.com/talent/langfuse.md)[LangGraph](https://jobicy.com/talent/langgraph.md)[LLMOps](https://jobicy.com/talent/llmops.md)[Machine Learning](https://jobicy.com/talent/machine-learning.md)[MLOps](https://jobicy.com/talent/mlops.md)[MongoDB](https://jobicy.com/talent/mongodb.md)[Onnx](https://jobicy.com/talent/onnx.md)[PostgreSQL](https://jobicy.com/talent/postgresql.md)[Python](https://jobicy.com/talent/python.md)[RAG](https://jobicy.com/talent/rag.md)[Scala](https://jobicy.com/talent/scala.md)[SHAP](https://jobicy.com/talent/shap.md)[Snowflake](https://jobicy.com/talent/snowflake.md)[SQL](https://jobicy.com/talent/sql.md)[Terraform](https://jobicy.com/talent/terraform.md)[Time Series](https://jobicy.com/talent/time-series.md) ## Tech stack & tools Working toolkit ### Application Hosting [![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/azure/azure-original.svg) Azure](https://jobicy.com/talent?tool=azure.md)[![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/firebase/firebase-original.svg) Firebase](https://jobicy.com/talent?tool=firebase.md) ### Data Stores [![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/mongodb/mongodb-original.svg) MongoDB](https://jobicy.com/talent?tool=mongodb.md)[![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/postgresql/postgresql-original.svg) PostgreSQL](https://jobicy.com/talent?tool=postgresql.md)[![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/rocksdb/rocksdb-original.svg) RocksDB](https://jobicy.com/talent?tool=rocksdb.md) ### Development [![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/docker/docker-original.svg) Docker](https://jobicy.com/talent?tool=docker.md)[![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/kubernetes/kubernetes-original.svg) Kubernetes](https://jobicy.com/talent?tool=kubernetes.md)[![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/terraform/terraform-original.svg) Terraform](https://jobicy.com/talent?tool=terraform.md)[![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/yarn/yarn-original.svg) Yarn](https://jobicy.com/talent?tool=yarn.md) ### Languages & Frameworks [![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/hadoop/hadoop-original.svg) Apache Hadoop](https://jobicy.com/talent?tool=hadoop.md)[![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/flask/flask-original.svg) Flask](https://jobicy.com/talent?tool=flask.md) ### Libraries [![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/keras/keras-original.svg) Keras](https://jobicy.com/talent?tool=keras.md)[![Image](https://cdn.jsdelivr.net/gh/devicons/devicon@master/icons/tensorflow/tensorflow-original.svg) TensorFlow](https://jobicy.com/talent?tool=tensorflow.md) ## Experience Career history ### Lead Data & AI Engineer — Agentic AI & ML in Production (SmartShip) · CMA-CGM Jan 2025 – PresentI lead the design and deployment of an Agentic AI framework on top of Kafka and Flink streams for maritime operations. My work includes RAG over internal technical documentation, embedded ML inference inside Flink operators, and production monitoring for model drift, latency, and quality. I also help define evaluation protocols and observability practices for LLM-based systems. I act as a technical lead within a larger program, coordinating with data scientists, business experts, and platform teams to deliver reliable AI and data products. ### Senior Data Engineer — Flink Streaming & Kafka Backbone (SmartShip, AWS) · CMA-CGM Sep 2022 – Dec 2024I built and operated a real-time streaming platform for fleet-wide navigation, engine, and IoT data. My responsibilities included Apache Flink stateful jobs, Kafka backbone design, Iceberg lakehouse sinks, and cloud migration to AWS. I also contributed to predictive maintenance and early GenAI/RAG use cases built on the same streaming foundation. This role focused on low-latency processing, high availability, and scalable data delivery for downstream consumers and analytics systems. ### Data & Streaming Engineer — Kafka, Flink & Hadoop Distributed Processing (AWS) · CMA-CGM Sep 2021 – Sep 2022I migrated monolithic SQL batch workloads into distributed streaming and batch architectures. I delivered the first Apache Flink jobs in production, built Spark pipelines on AWS EMR and Hadoop-YARN, and helped establish the Kafka and streaming foundations for later real-time initiatives. I also worked on feature engineering at scale and cloud cost optimization through more efficient processing patterns and infrastructure choices. ### Cloud ML Engineer & Data Scientist — Renewables Predictive Maintenance · EDF Renewables Nov 2020 – Sep 2021I developed and deployed predictive maintenance solutions for wind and solar farms using sensor telemetry. My work covered data pipelines, feature engineering, and machine learning models for failure prediction and operational optimization. I also applied constrained mathematical optimization to support decision-making. This role combined cloud data engineering, applied machine learning, and industrial problem solving. ### Data Scientist — Actuarial Modeling & Predictive Pricing · AXA France IARD Mar 2020 – Nov 2020I built supervised churn and pricing models for auto insurance contracts. I worked on dynamic pricing, elasticity analysis, explainability with SHAP, and end-to-end ML pipelines in PySpark and Databricks. I also used MLflow for tracking, versioning, and monitoring. The work had direct business impact through revenue improvement and better actuarial decision support. ### Machine Learning Engineer Intern — Computer Vision & MLOps · Grand Shooting Mar 2019 – Aug 2019I worked on the full lifecycle of computer vision models, from data labeling to training and deployment. I built Flask REST APIs for real-time classification and contributed to internal AutoML experimentation. I also supported data integration with GCP services such as BigQuery and Firebase. This internship gave me early hands-on experience in ML deployment and production-oriented engineering. ## Education Learning history ### IMT Atlantique (formerly Mines Telecom Bretagne) 2018 – Mar 2020Engineering Degree, Mathematics & Computational Engineering I studied machine learning, deep learning, constrained optimization, stochastic modeling, data analysis, and programming. The program also covered SQL, NoSQL databases, and software development in Python, Java, and C++. This professional hasn’t added portfolio projects yet. This professional hasn’t listed any services yet.