Ingénieur en Science des Données IA H/F - IBM FutureNow Centers - Strasbourg
IBM
A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You’ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you’ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You’ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
Your Role And Responsibilities
As a Data Scientist specializing in Artificial Intelligence, you will leverage your expertise in combining data analysis and business acumen to tackle cognitive computing challenges. You will architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models.
Your Primary Responsibilities Will Include
- Design AI Solutions: Architect and deliver AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models, and experience in tools like Github Copilot and Amazon Code Whisperer.
- Develop Cognitive Solutions: Create comprehensive cognitive solutions that effectively process and analyze both structured and unstructured data, utilizing advanced analytics techniques and a deep understanding of NLP and ML methods.
- Lead AI Project Lifecycle: Manage the full AI project lifecycle, from research and prototyping to deployment in production environments, ensuring successful solution delivery.
- Collaborate on AI Projects: Work with various stakeholders to solve complex business problems and leverage the power of artificial intelligence for cognitive computing, applying strong programming skills and proficiency in Python and AI frameworks.
- Optimize AI Solutions: Utilize expertise in one of the following areas - NLP, Image Processing, Video Processing, Voice Processing, or Watson technologies - to optimize AI solutions and drive business value.
Master's Degree
Required Technical And Professional Expertise
- At least 5 years of post-graduate experience, including experience on generative artificial intelligence projects (LLM, RAG, NLP), working in an Agile environment.
- Advanced Analytics Techniques: Exposure to advanced analytics techniques for structured data, including data analysis and interpretation, to inform business decisions and tackle cognitive computing challenges.
- AI Frameworks and Tools: Experience working with AI frameworks such as TensorFlow, PyTorch, Keras, or Hugging Face, and tools like Github Copilot and Amazon Code Whisperer to develop and deploy AI models.
- Programming Skills: Proficiency in Python programming language, with experience in applying programming skills to develop and deploy AI solutions.
- NLP and ML Methods: Exposure to Natural Language Processing (NLP) and Machine Learning (ML) methods for unstructured content, including foundation models and large language models.
- Cloud Platforms and Databases: Experience working with cloud platforms (e.g. Kubernetes, AWS, Azure, GCP) and related services, as well as relational and NoSQL databases (SQL, Postgres, DB2, MongoDB).
- Familiarity with Modern UI: Familiarity with modern UI frameworks such as Backbone.js, AngularJS, React.js, Ember.js, Bootstrap, and JQuery, with the ability to apply this knowledge in developing AI solutions.
- Understanding of Libraries: Understanding in the usage of libraries such as SciKit Learn, Pandas, Matplotlib, etc., with the ability to apply this knowledge in developing AI solutions.
- Operating Systems Knowledge: Experience working with various operating systems (Linux, Windows, iOS, Android), with the ability to apply this knowledge in developing and deploying AI solutions.