Senior Python Developer | Software Engineering Practice at MARGO
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About MARGO Group
MARGO Group is a leading consultancy that specializes in delivering high-performance software solutions tailored to the needs of major clients in finance, industry, and technology. Our team thrives on tackling complex challenges that drive genuine business results.
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Join Margo Group as a Data Scientist or Machine Learning Engineer within our cutting-edge Practice IA MARGO team. In this role, you will leverage your analytical skills and machine learning expertise to drive innovative solutions that enhance our data-driven decision-making processes.You will collaborate with cross-functional teams, harnessing data to create predictive models and actionable insights that contribute to the success of our projects.
About UsAt MARGO, our consultants focus on what truly matters: tackling complex projects that combine intellectual challenges with real business impact.This is why we support leading players in finance, industry, and technology on their most strategic projects in Data Science, Machine Learning, and Artificial Intelligence.Why Join the AI Practice?You will be part of a team led by Hamza Bouanani, the AI Practice Manager at MARGO, and Lead Data Scientist at BNP Paribas.Working alongside him means joining a team of passionate experts, being technically and methodologically challenged, and contributing to high-impact projects for clients.Your ResponsibilitiesWe are seeking a Machine Learning Engineer to join our teams and engage at the heart of our clients' Data strategies (Industry, Finance, Energy). Your primary objective will be to industrialize Machine Learning algorithms and ensure their production lifecycle.You will operate on three major technical axes:1. Industrialization & Deployment (Model Serving)- Transforming research models (Proof of Concept) into robust, tested, and optimized production code.- Developing high-performance APIs (FastAPI, Flask) to expose models to business applications.- Containerizing solutions (Docker) and orchestrating on clusters (Kubernetes) to ensure scalability and high availability.2. MLOps Architecture & Automation- Designing and maintaining CI/CD pipelines dedicated to Machine Learning (automated retraining, model validation).- Implementing and managing data flow orchestration tools (Airflow, Kubeflow, Dagster).- Managing versioning of data and models (DVC, MLflow) to ensure reproducibility of experiments.
Who Are We?At MARGO, our consultants focus on what truly matters: complex projects that blend intellectual challenge with tangible business impact.We support leading players in finance, industry, and tech on their most strategic endeavors in Data Science, Machine Learning, and Artificial Intelligence.Why Join the AI Practice?You will be part of a team led by Hamza Bouanani, Practice Manager of AI at MARGO, who is also the Lead Data Scientist at BNP Paribas.Working alongside him means joining a passionate group of experts, facing technical and methodological challenges, and contributing to high-impact projects for our clients.Your ResponsibilitiesWe are currently seeking a Data Scientist for a major French industrial group to contribute to a strategic marketing optimization project.Your responsibilities will include:- Development and deployment of Marketing Mix Modeling (MMM) models leveraging large volumes of marketing data (TV, digital, social media, brand experiences, etc.) to measure the impact of investments on sales and brand valuation;- Delivering large-scale models across strategic markets, integrating complex and heterogeneous environments;- Calculating and monitoring key performance indicators such as ROS (Return on Spend) and ROI (Return on Investment) by channel and brand;- Direct interaction with marketing teams to provide recommendations on optimal budget allocation;- Participating in the evolution of code and methodologies in future data migrations;- Contributing to new projects around generative AI applied to marketing content creation.Technical EnvironmentInfrastructure: AzureData Preparation: PySpark, Databricks, SnowflakeML Development: Python (VS Code), AzureMLDevelopment Tools: Git (Azure DevOps), Postman, StreamlitDocumentation: NotionMethodology: Agile / ScrumDesired ProfileWe seek demanding engineers and data scientists passionate about AI and eager to thrive in complex environments.- Education: Master’s degree (engineering school, university, PhD preferred);- Experience in Data Science applied to business challenges (preferably in marketing, pricing, budget allocation, etc.);- Strong analytical and problem-solving skills;- Proficient in programming languages and statistical tools;- Team player with excellent communication skills.
About UsAt MARGO, our consultants engage in what truly matters: complex projects that merge intellectual challenge with real business impact. We support leading players in finance, industry, and technology on their most strategic endeavors in Data Science, Machine Learning, and Artificial Intelligence.Why Join the AI Practice?You will be part of a team led by Hamza Bouanani, Practice Manager of AI at MARGO and Lead Data Scientist at BNP Paribas. Working alongside him means joining a passionate team of experts, being technically and methodologically challenged, and contributing to high-impact projects for our clients.Your ResponsibilitiesWe are currently seeking a Data Scientist for a prominent French industrial group. Your role will involve multiple projects:- Pricing Project* Scale price optimization* Estimating the impact of price variations and providing recommendations to maximize group sales and margins* Optimizing prices in line with business constraints through direct interaction with various departments* Participation in production implementation- Customer Segmentation Project* Enhancing data quality to optimize marketing campaign targeting* Developing simple, robust, and efficient classification and regression models- Recommendations* Defining and implementing targeted discounts to retain customers* Creating decision support tools for sales personnel, integrating recommendations on clients and products* Collaborating closely with departments to assess the impact and ROI of recommendations- Your role will also include:* Needs assessment and definition phase with end users* R&D phase: data analysis, testing, and development of effective models* Validation with departments and production implementation with data engineering teams* Monitoring and following up on models via Databricks dashboards.
Who are we?At MARGO, our consultants focus on what truly matters: complex projects that merge intellectual challenges with real business impact.That’s why we support leading players in finance, industry, and technology on their most strategic initiatives in Data Science, Machine Learning, and Artificial Intelligence.Why join the AI practice?You will be part of a team guided by Hamza Bouanani, Practice Manager of AI at MARGO, who is also the Lead Data Scientist at BNP Paribas.Working alongside him means joining a team of passionate experts, being technically and methodologically challenged, and contributing to high-impact projects for our clients.Your MissionsWe are currently looking for a Lead Data Scientist for an investment bank:- You will be part of an international team of 80 individuals (Paris & Portugal) comprising data engineers, front-end and back-end developers, data scientists, and AI engineers, collaborating on ambitious and varied projects.- You will lead and contribute to major projects for the investment bank, including:- Implementation of AI / Generative AI / LLM / Machine Learning across various banking domains;- Flagship project: creation of an internal translation engine, utilized by 60,000 users;- Setup and industrialization of LLM;- Analysis of ESG data and development of a web interface to advise on sustainable behaviors;- Mentoring and coaching data scientists and AI engineers;- Collaboration with front-end, back-end, and data engineering teams to ensure the industrialization and quality of models.Profile RequiredWe seek demanding engineers and data scientists, passionate about AI and eager to evolve in complex environments.- Master's degree (engineering school, university, PhD appreciated);- Strong skills in Python and ML/DL libraries (scikit-learn, TensorFlow, PyTorch, XGBoost, etc.);- Initial experience in Data Science, Machine Learning, ideally in NLP / Generative AI;- Ability to lead teams and oversee complex technical projects;- Strong interest in demanding environments where quality is prioritized over quantity;- Analytical mindset, sense of challenge, and a taste for high-value projects.What We Offer
ABOUT USAt MARGO, our consultants tackle meaningful challenges through complex projects that blend intellectual rigor with real business impact.We support leading players in finance, industry, and technology on their most strategic initiatives in Data Science, Machine Learning, and Artificial Intelligence.WHY JOIN THE CLOUD TRANSFORMATION PRACTICE?You will work within a team guided by a dedicated Practice Manager at MARGO, who is also deployed at one of our client sites.Collaborating with them means joining a passionate team of experts, facing technical and methodological challenges, and contributing to high-impact projects for our clients.YOUR RESPONSIBILITIESWe are currently seeking a Data Engineer to work with one of our clients in the energy sector within a cross-functional data team. This role encompasses various use cases arising from different departments (trading, data, HR, etc.).Your primary task will be to provide the foundational IT and Data components that serve all teams.In practical terms, our team is looking for Data Engineers and Data profiles capable of contributing to these impactful cross-functional projects.Main Responsibilities:- Support other teams in their data/AI projects- Engage in cross-functional interventions to accelerate and industrialize use cases- Deploy and launch data/AI projects into production- Work with modern technologies and enhance skills in AWS cloud- Make a direct impact on concrete topics such as energy transition, energy mix, and ecology—subjects that matter- Work alongside high-caliber colleagues (high seniority level)- Focus on continuous optimization- Handle large volumes and diverse data sets- Participate in a significant DATA transformationWHAT WE ARE LOOKING FORWe are looking for demanding engineers and data engineers who are passionate about technology and eager to thrive in complex environments.- Graduated from an engineering school or a Master's degree (Bac +5);- Proficient in Python, PySpark, Scala, AWS, Databricks, and SQL- Good command of English to operate in an international environment.WHAT WE OFFER- Ambitious and varied projects, always selected for their added value;- Close support from recognized experts;- ...
MARGO is a leading IT and data consulting firm, renowned for its expertise in cutting-edge technologies and its innovation ecosystem. We invest significantly in internal R&D to transform scientific advancements into tangible solutions for our consultants and large clients.As part of our growing Practice IA, we are seeking a passionate Junior Doctor R&D specializing in Generative AI, Machine Learning, and the industrialization of applied research.At MARGO, you will have the freedom to choose:100% Internal R&D: exclusively contribute to our innovation projects.R&D + Client Missions: apply your skills to exploratory and strategic projects with our clients, tackling cutting-edge issues.Your Role:As a Junior Doctor R&D, you will play a key role in our innovation strategy. You will work on applied research projects while contributing to the industrialization and dissemination of our AI solutions.Your Main Responsibilities:1. Internal R&D Projects and Innovation- Develop complex AI agent systems for internal and client use cases.Current Examples: MargoZilla (HR agent), MargoVer (database optimization), internal RAG framework.- Experiment with Foundation Models (LLMs, multimodality, NLP, ML).- Explore cognitive robotics and embodied AI on robots (Reachy or others).2. Industrialization and Valorization- Design reusable tools (packages, templates, frameworks).- Ensure scientific and technical quality (reproducibility, documentation, best coding practices).- Convert R&D outcomes into valuable assets for our AI offerings.3. Monitoring, Sharing, and Training- Conduct continuous technological monitoring (research papers, benchmarks, conferences).- Share your findings via:* internal presentations,* training materials for consultants,* client summary notes.4. Client Support and Missions (optional)- Assist our clients with the latest AI solutions (POC, prototyping, architecture choices).- Contribute to solving concrete issues in exploratory or strategic contexts.5. Visibility and Expertise- Represent the Practice IA to clients and prospects (workshops, demonstrations).- Publish technical articles (Medium, etc.).
About UsAt MARGO, our consultants engage in what truly matters: complex projects that merge intellectual challenges with real business impact. We support leading players in finance, industry, and technology in their most strategic Data Science, Machine Learning, and Artificial Intelligence initiatives.Why Join the AI Practice?You will be part of a team led by Hamza Bouanani, AI Practice Manager at MARGO and Lead Data Scientist at BNP Paribas. Working alongside him means joining a passionate team of experts, being technically and methodologically challenged, and contributing to high-impact projects for our clients.Your ResponsibilitiesWe are currently looking for an AI Engineer to contribute to a strategic project focused on digitizing risk metric production within a multidisciplinary team led by a Lead Data Scientist.- Predictive MonitoringContext: Production teams handle large volumes of data daily to generate key indicators. Manual monitoring is complicated and doesn’t always guarantee that objectives will be met.Technical Objective: Develop a system capable of predicting daily the likelihood of meeting indicators and automatically identify weak links in the calculation chain.Expected ROI: Streamline the operational teams' work and enhance production deadline compliance.- Agentic AI FrameworkContext: The complexity of tools and procedures complicates manual incident resolution.Technical Objective: Design multiple AI (multi-agent systems) capable of centralizing knowledge, answering user inquiries, and suggesting automated corrective actions.Expected ROI: Assist operational teams daily, reduce their workload, and automate repetitive tasks.
About UsAt MARGO, our consultants focus on what truly matters: intricate projects that combine intellectual challenges with real business impact. We partner with leading players in finance, industry, and technology to design and develop high-performance software solutions, including distributed architectures, cloud platforms, real-time systems, and large-scale critical applications.Why Join the Software Engineering Practice?You will be part of a team led by Paul Blois, our Practice Manager for the past five years. Collaborating with him means benefiting from his in-depth knowledge of the firm, receiving close mentorship for your personal development, and contributing to demanding IT projects that have a significant impact on our clients.Your ResponsibilitiesJoin an international team of electronic trading experts dedicated to developing high-performance market solutions. Your tasks will include:- Designing and enhancing trading bots capable of executing complex real-time strategies.- Optimizing performance (latency, multithreading) and managing high data volumes.- Ensuring robust C# code, adhering to SOLID principles, with testing and code reviews.- Contributing to the management of Cloud infrastructures (Azure) and data security.Candidate ProfileWe are looking for a C# developer passionate about real-time systems and interested in market finance, eager to thrive in complex, high-performance environments.- Educational background: Master’s degree (engineering school or university).- Strong skills in C#, multithreading, performance optimization, and best development practices (SOLID, unit testing).- Experience in developing critical systems, processing real-time data streams; experience in finance is a plus.- Ability to solve complex technical problems and collaborate with multidisciplinary teams.- Enthusiasm for demanding environments.
MARGO Group
Who are we?At MARGO, our consultants engage in what truly matters: complex projects that combine intellectual challenges with tangible business impacts. We support leading players in finance, industry, and technology in designing and developing high-performance software solutions, including distributed architectures, cloud platforms, real-time systems, and large-scale critical applications.Why join the Software Engineering practice?You will be part of a team led by Paul Blois, our Practice Manager for the past 5 years. Working alongside them means gaining deep insights into the company, receiving close guidance in your career development, and contributing to demanding IT projects that have a significant impact for our clients.Your responsibilities- Design, develop, and optimize a Front Office risk management application covering various financial products.- Enhance and extend existing functionalities to meet real-time business requirements.- Tackle complex performance, algorithmic, and multithreading challenges.- Participate in the design of scalable and robust microservices architectures.- Ensure code quality, maintainability, and security across the solution.- Contribute to code reviews, continuous improvement, and sharing best practices.Languages: Java 17Associated Technologies: NoSQL, microservices, CI/CDChallenges: real-time, low latency, algorithmic complexity, distributed computing, processing large data volumes.Desired ProfileWe are looking for a Java Developer who is passionate about real-time systems and has an interest in financial markets, eager to thrive in complex, high-performance environments.- Master's degree (engineering school or university).- Strong skills in Java, multithreading, performance optimization, and development best practices (SOLID, unit tests).- Experience in developing critical systems, real-time data stream processing; finance experience is a plus.- Ability to solve complex technical problems and collaborate with multidisciplinary teams.
Margo Group
JOIN MARGOMARGO is a consulting firm specializing in Data, Artificial Intelligence, and Software Engineering. Bringing together top experts, MARGO focuses exclusively on technically complex missions.Since our inception in 2005, we have chosen a unique positioning to engage in the most stimulating projects in the market and to recruit the best talents.Today, we have over 350 employees spread across Paris, London, and Warsaw, covering six areas of expertise within the banking and financial markets, insurance, energy, industry, and technology sectors.RECRUITMENT CONTEXTWith over 20 years of continuous growth, our ambition is to accelerate this by strengthening our new team of Practice Managers.You will receive support and guidance from our COO, Raphaël Le Lièvre, who will work with you to define a common strategy aimed at expanding your Practice.The role of the Practice Manager is crucial in supporting, retaining, and projecting consultants. This is a challenging position with multiple functions, vital for the growth of the group.YOUR MISSIONS AS A PRACTICE MANAGERYou will take responsibility for the Data & Architecture Practice, consisting of 20 consultants.Your role includes:Management- Manage and develop the performance and careers of your team- Support the onboarding of new team members- Foster the professional life of consultantsRecruitment- Actively participate in the recruitment of your team- Ensure the quality of selection processes from technical validation to the end of recruitmentDelivery- Promote and support the offering and domain of expertise...
Who Are We?At MARGO, our consultants focus on what truly matters: tackling complex projects that combine intellectual challenges with real business impact. We partner with leading players in finance, industry, and tech to design and develop high-performance software solutions, including distributed architectures, cloud platforms, real-time systems, and large-scale critical applications.Why Join the Software Engineering Practice?You will be part of a team led by Paul Blois, our Practice Manager at MARGO for five years. Working alongside them means benefiting from extensive company knowledge, receiving close support in your professional growth, and contributing to demanding IT projects that have a significant impact on our clients.Your ResponsibilitiesYou will collaborate closely with research and business teams, enabling regular feedback and participation in various strategic changes. The goal is to transform, migrate, and optimize the tools we use.As a Python R&D Developer, your tasks will include:- Developing and adding new features using Python and C++- Participating in the redesign and optimization of various tools- Adhering to development standards and code quality- Implementing tests to reduce technical debt and improve Time to Market- Tackling technical challenges such as real-time processing, parallelization, and high data volumeYou will have the opportunity to grow in an agile and human-sized environment where technical excellence and coding best practices are at the heart of our activities.Technical challenges include algorithmic complexity, real-time performance, optimization, and scalability.Technical Stack: Back End: C++ and Python; Front End: JavaScript; Unix/Linux Environment.
About UsAt MARGO, our consultants focus on what truly matters: engaging in complex projects that blend intellectual challenge with real business impact. We support the most prominent players in finance, industry, and technology by designing and developing high-performance software solutions, including distributed architectures, cloud platforms, real-time systems, and large-scale critical applications.Why Join the Software Engineering Practice?You will be part of a team led by Paul Blois, who has been the Practice Manager at MARGO for five years. Working alongside him means benefiting from an in-depth understanding of the company, receiving close mentorship in your career development, and contributing to demanding IT projects with significant impact for our clients.Your ResponsibilitiesYou will join a team of 12 professionals tasked with translating complex financial mechanisms into an elegant and resilient software architecture. At the heart of a leading energy company's market activities, you will design the contract modeling engine that manages the group’s risk exposure.As a Senior Python Developer, your challenges will include:- Architecture & Design: Developing and evolving APIs and microservices capable of modeling rich and varied contractual life cycles.- Engineering Excellence: Ensuring code quality and maintainability (Clean Code, extensive unit and integration testing) in an environment where even a minor miscalculation can have direct financial repercussions.- Domain Modeling: Collaborating with business experts to convert complex management rules (gas purchases, P&L tracking, European regulatory constraints) into high-performing data models.- Performance & Scalability: Optimizing services for the aggregation of massive data volumes necessary for real-time risk management tools.
Who are we?At MARGO, our consultants engage in what truly matters: complex projects that blend intellectual challenges with real business impact. We collaborate with leading players in finance, industry, and technology to design and develop high-performance software solutions, including distributed architectures, cloud platforms, real-time systems, and large-scale critical applications.Why join the Software Engineering Practice?You will be part of a newly established team led by Paul Blois, Practice Manager at MARGO for the past 5 years. Working alongside him means gaining in-depth knowledge of the company, receiving close guidance in your professional development, and contributing to demanding IT projects with significant impacts for our clients.Your missionsYou will join a newly formed team at a leader in the energy sector, tasked with designing an algorithmic trading platform dedicated to battery energy storage. This strategic project aims to stabilize the electrical grid by injecting energy during peak consumption.As a C# Developer, you will contribute to building a robust, scalable, and high-performance solution capable of managing assets across Europe and the United States.Your responsibilities include:- Trading Engine Development: Design the software components enabling algorithmic trading in Intraday markets.- Asset Optimization: Implement and run complex optimization models (considering weather, market prices, and consumption profiles).- Backtesting Platform: Develop a secure and efficient environment for traders to test and validate their algorithmic strategies.- Scalability & Evolvability: Participate in the architecture of a solution initially focused on batteries but eventually designed to integrate the entire renewable energy portfolio (wind, hydro, thermal).
JOIN MARGOMARGO is a consulting firm specializing in Data, Artificial Intelligence, and Software Engineering. We bring together top experts and focus solely on technically complex missions.Since our inception in 2005, MARGO has maintained a unique positioning to engage in the most stimulating projects in the market and recruit the best talents.Today, we have over 400 employees across Paris, London, and Warsaw, covering six areas of expertise within the banking and financial markets, insurance, energy, industry, and technology sectors.RECRUITMENT CONTEXTWith more than 20 years of uninterrupted growth, our ambition is to accelerate this by strengthening our new team of Practice Managers.You will receive support and guidance from our COO, Raphaël Le Lièvre, who will work with you to define a joint strategy aimed at growing your Practice.The role of the Practice Manager is essential in supporting, retaining, and projecting consultants. It is a challenging position with multiple functions, critical to the growth of the group.YOUR MISSIONS AS A PRACTICE MANAGERYou will be responsible for the Software Engineering Practice, composed of 80 consultants and 3 manager consultants.Your role includes:Management- Manage and enhance the performance and career development of your team.- Support the onboarding of new team members.- Foster a vibrant professional life for consultants.Recruitment- Actively participate in recruiting your team.- Ensure the quality of selection processes from technical validation to the end of recruitment.Delivery- Oversee successful project delivery and client satisfaction.
Are you seeking to join an innovative team that embraces a continuous Test & Learn approach and truly empowers your ambitions? Look no further! At SFEIR, your career path is yours to navigate—whether it be vertical, horizontal, or cross-functional. Your PlaygroundTechnology Stack: Google Cloud Platform (including VertexAI, VertexAI Search, Cloud Run, Cloud Storage), Python, and ML libraries, along with RAG architecture.SFEIR AI: A dedicated program to master generative AI and agent-based coding.Community: Join a vibrant network of 140 Google Cloud certified professionals, 30 Google Authorized Trainers, and 7 Google Developer Experts. Your MissionsDesign and develop robust and scalable ML/AI solutions on GCP.Implement RAG architectures using Vertex AI Search and orchestrate Large Language Models (LLMs).Develop strategies for Prompt Engineering and model optimization.Establish pipelines for model evaluation and monitoring.Contribute to the AI transformation of our clients with innovative solutions. Your ProfileYou have a minimum of 5 years of experience in Data Science / Machine Learning.You possess proven professional experience with Google Cloud.You are passionate about your field: you engage in continuous learning and have personal projects. Why Join SFEIR?Every Sfeirian is paired with an Engineering Manager for support.Opportunities for growth into roles such as Senior Staff Engineer, Senior Principal Engineer, or Engineering Manager.Ongoing training access via Google Cloud Skills Boost and certifications.Participation in Google Cloud events.Be part of an active community with over 50 annual events. Your Sfeirian PackageChoice of equipment: MacBook Pro or Dell Precision.
About UsAt MARGO, our consultants focus on what truly matters: tackling complex projects that merge intellectual challenges with real business impact.We partner with leading figures in finance, industry, and technology on their most strategic initiatives in Data Science, Machine Learning, and Artificial Intelligence.Why Join the AI Practice?You will be part of a team led by Hamza Bouanani, the AI Practice Manager at MARGO and Lead Data Scientist at BNP Paribas.Working alongside him means becoming part of a passionate group of experts, being technically challenged, and contributing to impactful projects for our clients.Your ResponsibilitiesWe are currently seeking an AI Engineer to support the technological transformation of our clients. You will join a team of technical excellence to design, deploy, and maintain state-of-the-art Generative Artificial Intelligence solutions:You will engage in three major areas:Advanced AI Architectures & Agentic AI- Design and develop Agentic AI architectures capable of reasoning and executing complex tasks autonomously.- Orchestrate multi-agent systems to address cross-functional business use cases.- Select and fine-tune the most suitable models (open-source or proprietary) for performance and cost needs.Development & Deployment of RAG- Implement robust RAG (Retrieval-Augmented Generation) pipelines to connect LLMs with enterprise data.- Manage vector indexing and optimize semantic search (Vector DBs).- Develop APIs and integrate AI components into the existing application ecosystem.Industrialization & Monitoring (LLMOps)...
About the Institute of Foundation ModelsWe are an innovative research laboratory dedicated to the development, understanding, and application of foundation models. Our mission is to propel research forward, cultivate the next generation of AI innovators, and contribute significantly to a knowledge-based economy.Joining our team means you will engage in the advanced training of state-of-the-art foundation models, collaborating with leading researchers, data scientists, and engineers. You will address some of the most pressing and transformative challenges in AI development, contributing to pioneering AI solutions with the potential to revolutionize entire industries. Your strategic and innovative problem-solving skills will be vital in positioning MBZUAI as a global leader in high-performance computing for deep learning, driving discoveries that will inspire future AI visionaries.The RoleAs a Research Scientist focusing on speech and audio machine learning, you will play a key role in designing and training cutting-edge end-to-end neural speech models. You will be tasked with developing crucial intellectual property, evolving beyond traditional ASR to TTS systems and creating native audio-to-audio multimodal architectures.
margo-group
JOIN MARGOMARGO is a consulting firm specializing in Data, AI, and Software Engineering, established in 2005. With a presence in France and internationally, we bring together top experts to tackle the most intriguing technical challenges for our demanding clients. MARGO aims to become a key player in AI, solidifying our client relationships and expanding our premium positioning among new market entrants.YOUR ROLE AS A TALENT ACQUISITION SPECIALISTDiscovering Top Talent: You will recruit high-level technical and business profiles for MARGO’s strategic teams, focusing on dynamic and curious individuals. You will cultivate and engage your network, target candidates across various platforms, and inspire them to learn more about MARGO, encouraging them to meet with us.Managing the Recruitment Process: Each recruitment process is a challenge! You will be responsible for sourcing candidates, evaluating them through phone pre-qualifications, and guiding them through the entire recruitment journey from start to finish.Representing MARGO’s Image: You understand the importance of the candidate experience! You are committed to treating all candidates with kindness and take joy in providing feedback to help them improve.Integrating Your Colleague: Employee retention begins as soon as they sign their contract! You will develop the relationship with your new hire before their arrival and implement an effective onboarding process.Being a Talent Acquisition Specialist at MARGO also means choosing to:- Engage in all stages of the recruitment process- Collaborate with various stakeholders- Thrive in a dynamic and challenging environment- Recruit high-value profiles- Work for a company that values its human capital.
Mistral AI
Role OverviewJoin our innovative team at Mistral in the heart of Paris as a Data Scientist. In this pivotal role, you will collaborate closely with product management, research, and engineering teams to analyze user behaviors, enhance product performance, and develop data-driven features aimed at advancing our cutting-edge AI product suite.We are looking for individuals who thrive in fast-paced, dynamic environments and enjoy solving complex problems. This is an exciting opportunity for those who wish to directly influence our product roadmap. The successful candidate will possess a robust background in data analysis, statistical modeling, and machine learning, with a track record of achieving exceptional results in high-pressure situations.If you're passionate about data, enthusiastic about AI, and ready to make a substantial impact on our data science strategy, we invite you to apply.Key Responsibilities• Define essential metrics, thoroughly assess the performance of our AI offerings, and pinpoint areas for enhancement.• Design and conduct experiments (A/B tests, causal inference) to validate hypotheses and inform product strategies.• Spearhead end-to-end data science projects, encompassing data collection, preprocessing, model development, evaluation, and deployment.• Assess model performance in both training and production environments, identifying edge cases and creating frameworks to gauge user satisfaction.• Collaborate with engineering teams to ensure the integrity and accessibility of data for analytics and machine learning applications.• Depending on your level of expertise, mentor colleagues and disseminate best practices in data science and analytics.Candidate ProfileEssential Qualifications:• A minimum of 2 years of professional experience as a Data Scientist.• A Master's or Ph.D. in Computer Science, Statistics, Mathematics, Engineering, or a related quantitative discipline.• Proficiency in Python and SQL.• A strong technical aptitude complemented by excellent communication skills.
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