11/12/2026 updated
100 % available
Senior AI/ML Engineer | Machine Learning & Software Engineering Expert
Paris, France
Only remote
Master of Science (M.S.) - Artificial Intelligence, Sorbonne Universite (Paris VI)About me
Motivated and experienced Machine Learning (ML) Engineer with 5+ years of experience in Artificial Intelligence (AI) models development, Machine Learning and Software Engineering using Python and its frameworks like LangChain, TensorFlow, PyTorch, pandas, scikit-learn, etc.
AI AgentsRAGSageMakerGCPVertex AILangChainApplication Programming Interfaces (APIs)Artificial IntelligenceData AnalysisComputer VisionDjangoPython (Programming Language)PostgreSQLMachine LearningNatural Language Processing
Machine Learning & Deep Learning
Expertise in developing and deploying ML and DL models using frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn, with applications ranging from investment outcome prediction to computer vision and NLP tasks.
Python & AI Frameworks
Proficiency in Python and its AI ecosystem including LangChain, LangSmith, LangGraph, OpenAI API, Anthropic API (Claude), Llama-index, Transformers, and Hugging Face for building advanced AI solutions.
Cloud Platforms & MLOps
Hands-on experience with AWS (SageMaker, Lambda, S3, EC2, CloudWatch, CodePipeline, CodeBuild, ECR, ECS, SNS) and Google Cloud Platform (GCP), as well as Docker, Kafka, Redis, and Git for scalable ML deployments.
Natural Language Processing (NLP)
Application of NLP techniques including RAG, Pinecone, Elastic, Sbert, Transformers, DeepEval, and Tesseract for tasks such as text generation, question answering, and document parsing.
Computer Vision
Development of computer vision solutions using OpenCV, Ultralytics, Mediapipe, and PyTorch for object detection, face recognition, person re-identification, depth estimation, and image retrieval.
API & Backend Development
Building robust backend services and APIs with FastAPI, Flask, Django, Celery, Node.js, GraphQL, and PostgreSQL/MySQL for scalable AI-powered applications.
Data Analysis & Visualization
Data processing and visualization using Pandas, SciPy, Matplotlib, Seaborn, Plotly, and Snowflake for deriving insights and supporting model development.
Agentic AI & LLM Evaluation
Design and implementation of agentic AI systems using MCP, FastMCP, W&B, Argilla, and DeepEval for automated and manual LLM output evaluation and pipeline optimization.
C++ & Systems Programming
Knowledge of C++, Linux, Bash, and Shell scripting for low-level system integration and performance-critical AI module development.
Expertise in developing and deploying ML and DL models using frameworks such as TensorFlow, PyTorch, Keras, and Scikit-learn, with applications ranging from investment outcome prediction to computer vision and NLP tasks.
Python & AI Frameworks
Proficiency in Python and its AI ecosystem including LangChain, LangSmith, LangGraph, OpenAI API, Anthropic API (Claude), Llama-index, Transformers, and Hugging Face for building advanced AI solutions.
Cloud Platforms & MLOps
Hands-on experience with AWS (SageMaker, Lambda, S3, EC2, CloudWatch, CodePipeline, CodeBuild, ECR, ECS, SNS) and Google Cloud Platform (GCP), as well as Docker, Kafka, Redis, and Git for scalable ML deployments.
Natural Language Processing (NLP)
Application of NLP techniques including RAG, Pinecone, Elastic, Sbert, Transformers, DeepEval, and Tesseract for tasks such as text generation, question answering, and document parsing.
Computer Vision
Development of computer vision solutions using OpenCV, Ultralytics, Mediapipe, and PyTorch for object detection, face recognition, person re-identification, depth estimation, and image retrieval.
API & Backend Development
Building robust backend services and APIs with FastAPI, Flask, Django, Celery, Node.js, GraphQL, and PostgreSQL/MySQL for scalable AI-powered applications.
Data Analysis & Visualization
Data processing and visualization using Pandas, SciPy, Matplotlib, Seaborn, Plotly, and Snowflake for deriving insights and supporting model development.
Agentic AI & LLM Evaluation
Design and implementation of agentic AI systems using MCP, FastMCP, W&B, Argilla, and DeepEval for automated and manual LLM output evaluation and pipeline optimization.
C++ & Systems Programming
Knowledge of C++, Linux, Bash, and Shell scripting for low-level system integration and performance-critical AI module development.
Experience
Professional experience5 - 10 years
Freelancer since2021
Languages
GermanBasic knowledgeEnglishFluentFrenchFluentUkrainianNative speaker
Project history
Led the development of a Potential Investments Outcome prediction model achieving near state-of-art relative accuracy, increasing license sales by 12%. Led AI-based Profile Summarization development improving user satisfaction by 60%+. Contributed to the Agentic AI PitchBook Navigator, improving overall user experience by 45%+. Skills: Python, pandas, SnowFlake, scikit-learn, PyTorch, AWS (SageMaker), LangChain, LangSmith, LangGraph, OpenAI API, Anthropic API (Claude), FastAPI, Redis, GCP, Kafka, Docker, Git, RAG, Pinecone, Elastic, MCP, FastMCP.
Led the enhancement of an existing LLM-based solution, significantly improving its scalability and stability. Designed and implemented a pipeline for both automatic and manual LLM output evaluation. Achieved substantial improvement in user experience as measured by key performance metrics. Skills: Python, LangChain, LangSmith, DeepEval, OpenAI API, Anthropic API (Claude), W&B, Argilla, Django, Celery, FastAPI, Redis, AWS (SageMaker, Lambda, S3, CloudWatch), PostgreSQL, Docker, Node.js, Git.
Served as Technical Lead at Cendas, overseeing AI/ML and software development projects.