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As an AI Architect, you'll delve into the core of AI, applying your skills across domains like healthcare, transportation, and chatbot development. You'll routinely work with techniques like computer vision, NLP, forecasting, optimization, and generative AI, tackling real-world scenarios without getting lost in complexity. You'll translate business challenges into AI solutions, aligning them with market needs and inspiring both employees and companies. You'll lead project teams to implement these solutions, while considering legal, ethical, and moral boundaries.
Job Responsibility:
Translate business challenges into AI solutions, aligning them with market needs and inspiring both employees and companies
Lead project teams to implement these solutions, while considering legal, ethical, and moral boundaries
Collaborate with data scientists and AI experts to identify and pilot AI use cases, ensuring they reach production readiness
Align with business teams to convert leaders' visions into practical, feasible technical solutions
Gather input from stakeholders and develop processes and products that meet current and future needs
Define the AI architecture and choose technologies from open-source or commercial options
Select deployment models (cloud, on-premises, or hybrid) for seamless integration with existing data and analytics tools
Improve AI tools and practices, focusing on continuous improvement
Implement feedback mechanisms to assess and recalibrate models as needed
Serve as an AI expert, generating and sharing innovative ideas and insights with colleagues and customers through training and knowledge-sharing sessions
Requirements:
At least 7+ years of experience in AI and Data Science
Multiple examples where you coordinated a team in building end-to-end AI solutions
Experienced in developing (deep learning) models
Experience in securely and rapidly developing, training, evaluating, debugging, and deploying AI models in both practical and theoretical scenarios
Experience with modern computer vision tools for image classification, object detection, tracking, and segmentation
Expertise in working with LLMs (GPT, BERT, etc.) and are familiar with NLP and LLM evaluation metrics
Hands-on experience in the development of AI solutions in cloud environments like Microsoft AWS or azure
You approach problem-solving with an open-minded and constructive attitude
You have the drive to stay up to date with the fast-changing AI landscape
You're an excellent mentor who not only designs the architecture but also ensures our consultants implement it successfully
Conduct thorough code reviews, particularly in Python, to ensure code quality and adherence to best practices
Guide consultants from Proof of Concept (POC) to production, leveraging your infrastructure knowledge to support deployment and optimization
You are fluent in Dutch and English. Knowledge of French is a plus
You have experience in improving AI/ML strategies
You are resident in Belgium and look forward to working a limited days a week at the client's or our offices
Nice to have:
Knowledge of French
What we offer:
A variety of perks, such as mobility options (including a company car), insurance coverage, meal vouchers, eco-cheques, and more
Continuous learning opportunities through the Sopra Steria Academy to support your career development
The opportunity to connect with fellow Sopra Steria colleagues at various team events
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