Full-Time
AI Engineer / Scientist confirmé
Deloitte
10,001+ employees
Global professional services and auditing
No salary listed
Paris, France
In Person
 AI & Machine Learning (1) |
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- Minimum of 3 years of significant experience in the field of Machine Learning, Artificial Intelligence, and Data Science.
- Master's degree (Bac+5) or higher in a scientific or computer science field, preferably with a specialization in applied mathematics, machine learning, or related domains.
- Solid understanding of Artificial Intelligence technologies and tools including Python, PyTorch, Scikit-Learn, and Cloud AI services such as Microsoft Azure, Google Cloud Platform, and Amazon Web Services.
- Mastery of core Machine Learning concepts including Neural Networks, unsupervised, semi-supervised, and supervised learning, Deep Learning, classification, and modeling.
- Significant experience in Natural Language Processing and Generative Artificial Intelligence techniques including Large Language Models, Retrieval-Augmented Generation, VectorStores, and Large Language Model Agents.
- Proven expertise in technical project management and cross-functional collaboration.
- Familiarity with modern development processes and tools including DataOps, DevOps, Continuous Integration/Continuous Deployment, Git, Docker, and Kubernetes.
- Experience in the deployment of micro-services or Application Programming Interfaces using Flask or Django.
- Strong synthesis skills and the ability to work effectively within multidisciplinary teams.
- Professional communication and presentation skills for interacting with both technical and non-technical profiles.
- Strong problem-solving skills and intellectual curiosity.
- Contribute to the delivery of Artificial Intelligence projects and products involving Machine Learning, Generative AI, Natural Language Processing, Classification, Computer Vision, and modeling for clients across various sectors.
- Supervise and coach junior Data Scientists and Machine Learning Engineers to ensure their skill development.
- Implement and promote Machine Learning Operations (MLOps) and Large Language Model Operations (LLMOps) best practices to optimize the production delivery of AI models regarding scalability, reliability, and costs.
- Act as a prescriber for common Data and AI tools and identify and deploy reusable technical assets.
- Conduct active technological monitoring to drive innovation and identify synergies between technologies, methods, and practices.
- Ensure solution quality, adherence to development and security best practices, and integration of corporate architecture principles.
- Capitalize on and disseminate project results and AI advancements to internal and external teams.
- Participate in innovation initiatives and maintain a watch on LLMOps practices.
- Collaborate with strategic partners such as Amazon Web Services, Google Cloud Platform, Microsoft, Databricks, Snowflake, and Nvidia to establish best practices in AI engineering and technical architecture.
- Mastery of frameworks and tools related to Large Language Models such as LangChain, LangGraph, and FAISS.
- Experience specifically acquired in a consulting environment or in connection with various business sectors.
- Mastery of project monitoring and management tools, methodologies, and concepts.
What Deloitte does: Deloitte provides professional services to organizations, offering a range of services including consulting, auditing, tax, and advisory work to help clients improve performance and manage risk. How its products work: It blends practical advice with hands-on implementation through a global network of member firms and specialists. Teams assess clients’ needs, develop strategies, and help execute processes, controls, and transformations while upholding professional standards and integrity. How it differs from competitors: It operates at a large scale with a global network of diverse professionals, bringing cross‑disciplinary expertise and a wide range of services to many industries, which allows it to address complex challenges from multiple angles. What its goal is: To help clients and society become stronger by enabling sustainable progress and responsible growth through trusted services and collaboration.
Company Size
10,001+
Company Stage
Late Stage VC
Total Funding
$17.1M
Headquarters
Madrid, Spain
Founded
1845
Simplify's Take
What believers are saying
- U.S. revenues hit $35.7 billion in FY ended May 31, 2025.
- Global network enables comprehensive delivery to multinational clients.
- Strategic alliances advise clients across industries on initiatives.
What critics are saying
- Fragmented firms isolate liability, damaging brand from misconduct.
- EY, KPMG undercut AI audit prices, capturing 15-20% Global 500 contracts.
- Talent exits to Palantir, Accenture halve consulting growth under Anna Marks.
What makes Deloitte unique
- Deloitte's 470,000 global workforce spans 150 countries for multinational service.
- Blends business acumen, technology, and alliances for industry future-building.
- $70.5 billion FY2025 revenue reflects 4.8% growth in local currency.
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