Machine Learning Engineer - Paris
- Accelerate financial valuation processes by automating complex data extraction and preparation tasks
- Enhance accuracy of investment decisions by ensuring financial data is correctly extracted and processed
- Enable analysts to focus on high-value analysis rather than manual data gathering and formatting
- Create AI-powered tools that surface critical insights from both structured and unstructured financial data
- Python Mastery: Craft elegant, production-ready code that automates financial data processing
- ML Framework Proficiency: Leverage PyTorch and TensorFlow to build sophisticated data extraction models
- API Development: Design and implement robust APIs that integrate with financial platforms and data sources
- Familiarity with Unix/Terminal
- Familiarity with Docker and Containers
- Engineering Excellence: Apply Git version control and CI/CD practices to ensure code quality
- Extract financial data from diverse document formats (PDF, Excel, PowerPoint) regardless of layout
- Work with OCR systems that accurately capture financial figures and text
- Develop models that can extract tabular data from charts (bar, pie, etc.) in financial presentations
- Create table structure recognition systems that understand complex financial statement layouts
- Design document classification systems for organizing diverse financial document types
- Build generative AI systems for qualitative understanding of financial documents
- Implement text classification and named entity recognition for financial metrics identification
- Create systems that automatically detect dates, periods, currencies, and units in extracted data
- Develop question-answering capabilities that enable chat interfaces with structured financial data
- Build semantic search functionality for financial research and competitive intelligence
- Design database schemas that efficiently store structured financial data
- Architect pipelines that integrate data from diverse sources (documents, web scraping, third-party APIs)
- Deploy and monitor models in production environments for critical applications
- Leverage cloud platforms (AWS/Azure/GCP) for scalable data processing
- Architect and implement machine learning models to automate structured and unstructured data extraction from financial documents (e.g., contracts, balance sheets).
- Develop natural language processing (NLP) solutions to enhance qualitative document understanding and improve decision-making.
- Optimize algorithms for scalability and real-time performance across cloud-based platforms.
- Collaborate with cross-functional teams (finance experts, product managers) to align technical solutions with business objectives.
- Monitor deployed models to ensure accuracy, efficiency, and adaptability to changing market dynamics.
- Conduct experiments with state-of-the-art AI techniques to refine model performance and explore innovative applications.
- Master's degree in computer science, Data Science, or related field (or equivalent practical experience)
- Deep software engineering expertise including design patterns, code optimization, and testing best practices
- Python programming excellence with a focus on production-quality code
- Experience with Git-based workflows and collaborative development
- MLOps capabilities including CI/CD for ML models, workflow automation, and production monitoring
- Cloud platform experience (Azure, AWS, Google Cloud) and containerization expertise (Docker, Kubernetes)
- Data engineering proficiency with tools like Apache Spark, Airflow, or Databricks (preferred)
- Visualization skills using Streamlit, Tableau, or similar tools
- Knowledge of data privacy, model governance, and financial regulatory requirements
- Strong theoretical and practical understanding of Machine and Deep Learning principles
- NLP expertise covering text processing, tokenization, language models, and advanced techniques
- Computer Vision fundamentals for document image analysis and chart data extraction
- Hands-on experience with ML libraries: NumPy, PyTorch, HuggingFace, OpenCV, scikit-learn, spaCy, NLTK
- Experience with vector databases, good understanding of LLMs and Prompt Engineering, and knowledge of frameworks like LangChain
- API development using Flask, FastAPI, Django or similar frameworks
- Good communication skills for explaining complex concepts to diverse audiences
- Self-direction and organizational abilities to manage multiple concurrent projects
- Passion for continuous learning in the rapidly evolving ML/DL landscape
- Open-source contributions or maintenance experience (preferred)
Emplois Recommandés
Chargé.e de Recrutement et Développement RH - Alternance
Poste ouvert aux personnes en situation de handicap.Au sein de l’équipe RH, nous recherchons un.e Chargé.e de Recrutement et Développement RH en alternance. Dans un environnement dynamique, stimula…
INFIRMIER DE (F/H) LABORATOIRE
INFIRMIER DE (F/H) LABORATOIRE Prêt(e) à transformer des vies au sein d'un hôpital en tant qu'Infirmier (F/H) ? Vous jouerez un rôle essentiel en assurant un soutien médical au sein du laboratoire de…
Comptable Réassurance (IT)
Nous recherchons actuellement un comptable en Réassurance pour rejoindre notre groupe. En tant que Consultant en Comptabilité Technique et Réassurance, vous accompagnez la Compagnie de Réassurance da…
Finance Intern - Travel Retail Europe
The Finance Intern for Travel Retail Europe at LVMH will support financial performance management for esteemed brands such as Acqua Di Parma and Loewe Parfums. This role involves sales data analysis, …
Assistant Marketing H/F
Mindeo PE est un accélérateur spécialisé dans l’accompagnement d’infopreneurs et de web entrepreneurs à fort potentiel. Notre mission : Optimiser leurs leviers de croissance en leur offrant des s…
Couvreur cdi (H/F)
La société cliente de l'agence Actual, basée à Paris au 75 Rue Saint-Lazare, compte parmi les 600 agences du groupe et emploie 3550 collaborateurs, avec également 3 écoles de formation et 3 cabinets…
Apprentice Customer Insights Analyst
LVMH seeks an Apprentice Customer Insights Analyst in Paris. This role involves managing research projects, analyzing data, and supporting strategic insights for luxury brands. Ideal for Master's stud…
Développez & créez votre emploi secteur beauté bien-être e-commerce
Marketing relationnel & e-commerce. Nous travaillons en partenariat avec une grande entreprise Française, dynamique et performante, dans les secteurs très porteurs et en pleine croissance de la santé…
Accounts Payable Accountant
Chanel is seeking an Accounts Payable Accountant based in Paris for a full-time position. The role involves recording and validating supplier invoices in BASWARE, ensuring compliance with accounting r…
Customer Support - French - Lisbon
Position: Customer Support Location: Lisbon, Portugal Employment type: Full-time (6 month contract) with possibility of extension / permanent contract DUTIES AND RESPONSIBILITIES: Pro…