Global AI-ML - Boost

The chosen candidate will assume, in close coordination with the Head on the [AI Center of Expertise]; the role of "Senior Data Scientist" participating, along with the whole team, in supporting the business teams in the experimentation and industrialization of innovative projects (AA) i.e. from the POC to project instruction phases and implementation and deployment in the BNPP ITG Cloud infrastructure.

Responsibilities

As part a full-stack developer in MIND squad, your daily tasks will be:

• Define the target architecture
• Design of the associated AI solution to meet user's needs
• Exchange with the various ITG experts to reach the full understanding of AI landscape (Service offers available, technical and security requirements, guidelines, )
• Launch the Proof of Concept if needed to experiment new models, algorithms, technical assets,
• Launch the industrialization process following ITG guidelines with the help of the project manager (project launching, instruction, );
• Support the integration of solutions into the BNPP ITG infrastructure
• Coordinate the testing new solutions with users
• Manage the maintenance of the solutions in Production Environment
• Identify skills needed depending on the characteristics of the project
• Build the staffing accordingly project by project
• Identify potential new skills needed and coordinate with Head of CoE to anticipate needed trainings / hirings

• Contribute to transversal Finance optimization projects
• Act as a mentor to other team members being Data Scientists or people within the team engaged in an upskilling/reskilling to AI path
• Acculturate our F&R-Solutions colleagues and our business partners, on AI capabilities helping them getting basic/medium knowledge and enlighten them on its benefits.
• Act as first point of contacts for local business partners in the collect and first-level assessment of potential AI-eligible needs.Collaborate with Finance counterparts for developing insights and solutions
• Documentation of applications, maintenance processes and user guides.
• Participate to the "Ideation" phase used to identify pain points and possible topics eligible to AI
• Participate to the Identification of potential new skills/competencies needed and alert Head of CoE accordingly.
• Participate to the technological watch regarding AI at large: new algorithms, new models, new features, in order to propose up-to-date solutions to our portfolio of projects

Candidate must justify relevant experience on following streams:

• Minimum of 5 years as Team Leader coordinating team (5 people or more) on implementation and maintenance of IT solutions. Strong knowledge and experience in conducting the different phases of a project (requirements, design, implementation, tests, industrialization, ) is required. Also, significant experience on Agile is needed, especially Scrum methodology.
• Minimum of 2 years on AI projects having had the opportunity to work on a variety of topics: Machine Learning, NLG, NLP, LLM, MLLM, IDP, OCR, ... pushing those topics to Production environment validating industrialized phase.
• Following skills are required: Technically On below listed areas (Machine Learning, NLG, NLP, LLM, MLLM, ...) Knowledge of algorithms/models Ability to train/finetune a model Transversally Python coding Domino platform Understand the BNPP Technical Context Structuring application following "DevOps" guidelines allowing industrialization and scale-up Take ownership and use the services offered by the Group
• Ability to collaborate / teamwork Be customer oriented Be results oriented Ability to analyze Critical thinking Ability to anticipate business / strategic changes Ability to understand, explain and lead change Creativity & Innovation / Ability to solve problems Ability to define relevant performance indicators

Candidate must have a Master degree in Computer Science or Data Engineering or Data Science.

5+ years experience required