(Gen) AI and Machine Learning Engineer

Key Skills

Aartificial intelligence, AzureML, Data pipelines, Data science techniques, Databricks, Dataiku, DataOps, Design, DevOps, Effective communication skills, Large Language Models - LLMs, Machine learning techniques, MLOps tools, PySpark, Python Programming, PyTorch, Scikit-learn, TensorFlow

Job Description

We are looking for a (GEN) AI and Machine Learning Engineer to help our clients in their digital transformations.

Key tasks & activities

• Use ML and Generative AI tools and other technologies to design, evangelize, and implement state-of-the-art solutions for never-before-solved problems.
• Define and implement best practices for building, testing, and deploying scalable AI solutions, with a focus on generative models and LLM.
• Drive successful business outcomes for educating, training, designing and building cloud hosted Generative AI solutions
• Interact with customers directly to understand the business problem, help and aid them in implementation of their ML ecosystem
• Educate customers on the value proposition of GenAI and showcase the art of possible.
• Participate in deep architectural discussions and design exercises to create solutions while ensuring solutions are designed for successful deployment in the cloud.
• Stay at the forefront of AI technological advancements, especially in Generative AI and LLM, and assess their applicability to our business needs.
• Collaborate with cross-functional teams, including data scientists, AI/ML & data engineers, and functional SMEs, to ensure seamless integration and alignment of AI solutions with business objectives.
• influence the technical viability of the architecture of AI projects, ensuring optimal performance, scalability, and integration.
• Develop Solutions to ensure robust and secure data pipelines and infrastructure to support AI model training and deployment.
• Lead the evaluation of new AI tools, frameworks, and methodologies, advocating for the adoption of technologies that align with our strategic goals.

Knowledge & experience

• Experience in leveraging artificial intelligence and machine learning technologies to optimize and transform various aspects of our business operations.
• Minimum of 4 years of experience in designing and building AI solutions, with a strong focus on end-to-end automation.
• Proven expertise in machine learning techniques, deep learning frameworks, image processing and AI-related technologies including Generative AI.
• Experience with one of the cloud platforms, preferably Azure
• Experience with Python or PySpark.
• Experience in using Data Science Platforms
• Experience using the latest Data Science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker ) and frameworks (e.g. Tensorflow, PyTorch, MXNet, scikit-learn )
• Good understanding of software architecture patterns & application development.
• Familiarity with DevOps,DataOps,MLOps, LLMOps principles including code repository, code management, CI/CD and AI-related automation.
• Strong communication skills for both presenting work to clients, disseminating complex information in an easy-to-understand form on a day-to-day basis, and managing stakeholders.
• Native speaker in Dutch or French with professional working proficiency in English.

GetTheFutureYouWant

At Capgemini, we believe in diversity, equal opportunities, and a workplace where everyone feels valued. We take good care of people and help them make progress by assigning challenging projects and providing ample opportunities for personal growth and learning. We are looking for experienced professionals ready for their next career move.

You will join the I&D team, an ambitious, collaborative, supportive environment—problem-solvers with a strong focus on exchanging best practices to deliver exceptional results with Data science. Here, the knowledge of each team member and their own expertise is valuable to enable effective decision-making, proactive planning, and smooth project execution.

In return, we offer an attractive salary with fringe benefits:

• A hybrid or electric company car (or mobility budget)
• Meal & eco vouchers
• Group & health insurance
• Flexible work hours & the opportunity to work from home (70% of the time)
• 32 vacation days & 45 workcation days (to work abroad)
• Intensive training and certification at all levels to keep you up to date with the latest trends & technologies