Senior Data Scientist

OverviewBe part of the solution at Technip Energies and embark on a one-of-a-kind journey. You will be helping to develop cutting-edge solutions to solve real-world energy problems.We are currently seeking a Senior Data Scientist, reporting directly to Head of AI and Automation Hub to join our Data, New Tech and Software Engineering team based in Nanterre, Paris, France.Starting Date: ASAPAbout usTechnip Energies is a global technology and engineering powerhouse. With leadership positions in LNG, hydrogen, ethylene, sustainable chemistry, and CO2 management, we are contributing to the development of critical markets such as energy, energy derivatives, decarbonization, and circularity. Our complementary business segments, Technology, Products and Services (TPS) and Project Delivery, turn innovation into scalable and industrial reality.Through collaboration and excellence in execution, our 17,000+ employees across 34 countries are fully committed to bridging prosperity with sustainability for a world designed to last.About the mission we offer youWe are seeking a Senior Data Scientist with 5-7 years of experience to join our innovative AI team. This role offers the opportunity to work on cutting-edge artificial intelligence solutions across energy, infrastructure, and industrial applications. The ideal candidate will have a proven track record in GenAI, Computer Vision, and NLP, with hands-on experience deploying production-ready ML solutions in cloud environments.Technip Energies has been digitalizing for several years, has many building blocks to derive value from the Digital in the broadest sense and wishes to accelerate its digitalization by capitalizing on what has been done so far, setting an ambitious course for the next 5 years to better serve its customers, anticipate their needs and gain substantially in efficiency while taking advantage of new technologies.An evolution in the operating model has been performed recently, creating 1 new CDIO role (Management of Digital and Information Technology). CDIO launched a Digital Acceleration Plan. Phase 1 of the plan has been delivered, defining ambition of the Digital acceleration plan in terms of technology and expected business outcomes.Phase 2 is ongoing and includes the implementation of a new Product / Platform operating model within Digiteam. During this phase many initiatives are launched to build new products on Technip Energies segments “Project Delivery” as well as “Technology, Products Services”. The phase 2 also aims to reinforce the historically weak Enterprise Architecture discipline, enabling Coherence and Alignment from Strategy to Execution during the business digitalization roadmap.Main responsibilitiesAI & Machine Learning DevelopmentDesign, develop, and deploy advanced GenAI and machine learning models for diverse applications.Lead the development and continuous improvement of RAG (Retrieval-Augmented Generation) systems for complex document processingImplement multi-agent workflows to solve complex business problemsBuild, finetune and optimize LLM, computer vision models for defect detection, crack identification, and object segmentation in industrial imageryDevelop NLP pipelines for text classification, summarization, and information extraction using state-of-the-art LLMsCloud Infrastructure & MLOpsDesign and implement scalable cloud-based ML solutions on AzureDeploy and manage ML services using Azure Kubernetes Service (AKS), Azure ML Studio, and containerized applicationsBuild robust data pipelines and processing frameworksImplement MLOps best practices including model monitoring, data drift detection, CI/CD pipelines, and automated retrainingInnovation & ResearchConduct research and experimentation on emerging AI technologies through internal lab initiativesGenerate synthetic data for various use cases including time series, tabular data, and images to enhance model trainingPerform POCs and technology benchmarking to evaluate new tools, frameworks, and methodologiesStay current with latest developments in GenAI, computer vision, and deep learningLeadership & CollaborationLead and mentor a team of 4-5 data scientists in an international, multicultural environmentCollaborate with cross-functional teams including engineering, product, and business stakeholdersPresent technical findings and project outcomes to both technical and non-technical audiencesContribute to knowledge sharing through presentations at industry conferences and internal workshopsStarting Date: ASAPAbout youWe love to hear from you and how you match with this position. To be successful in this mission you should consider the following requirements:EducationDegree in Data Science, Artificial Intelligence, Computer Science, or related fieldTechnical Experience5-7 years of hands-on experience as a Data Scientist or Machine Learning EngineerProven expertise in Computer Vision applications (object detection, segmentation, defect identification)Strong background in Generative AI and Large Language Models (LLMs)Experience with Natural Language Processing (NLP) including text classification and OCRDemonstrated success deploying ML models to production environmentsProgramming & ToolsExpert-level proficiency in LLM finetuning and optimizationStrong experience with deep learning frameworks: PyTorch, TensorFlow, KerasProficiency in computer vision libraries: OpenCV, PillowWorking knowledge of SQL and experience with C# and angular is a plusFamiliarity with development environments: Jupyter Notebook, PyCharm, Visual Studio, AnacondaCloud & InfrastructureHands-on experience with major cloud platforms: Microsoft Azure and Google Cloud PlatformExperience with ML platforms such as Azure ML Studio, Dataiku, or similarKnowledge of containerization and orchestration (Docker, Kubernetes)Understanding of MLOps practices and CI/CD pipelinesDomain Knowledge (Optional but preferred)Experience in energy sector, infrastructure, or industrial applications strongly preferredUnderstanding of industrial monitoring, surveillance systems, or asset managementFamiliarity with safety-critical applications and regulatory requirements is a plusSoft SkillsAbility to functionally manage people or mentor themAbility to communicate with stakeholders on different levels in the organizationAbility to influenceInnovative and creative approach to problem solving is valuedYour career with usWorking at Technip Energies is an inspiring journey, filled with groundbreaking projects and dynamic collaborations. Surrounded by diverse and talented individuals, you will feel welcomed, respected, and engaged. Enjoy a safe, caring environment where you can spark new ideas, reimagine the future, and lead change. As your career grows, you will benefit from learning opportunities at T.EN University, such as The Future Ready Program, Graduate Program, and from the support of your manager through check-in moments like the Mid-Year Development Review, fostering continuous growth and development.What’s Next?Once receiving your system application, our recruiting team will screen and match your skills, experience, and potential team fit against the role requirements. We ask for your patience as the team completes the volume of applications with reasonable timeframe. Check your application progress periodically via personal account from created candidate profile during your application.We invite you to get to know more about our company by visiting www.ten.com and follow us on LinkedIn, Instagram, Facebook, X and YouTube for company updates. #J-18808-Ljbffr