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Sopra Steria offers tailored, end-to-end corporate technology and software solutions to help clients make bold choices and deliver results. With more than 56,000 colleagues in 30 countries, Sopra Steria ranks as Europe’s leading digital solutions provider. This role is for an AI Engineer joining the OptimAI competence center to work on impactful AI and data science solutions across sectors such as logistics, healthcare, and finance. The position offers hybrid working conditions, learning opportunities, and a variety of employee benefits.
Job Responsibility:
Develop and implement AI/ML models in production environments
Collaborate in a constructive team environment
Explain complex technical concepts in simple, accessible language to non-technical stakeholders
Work on impactful projects driving change for clients
Create impactful solutions to extract value from data and artificial intelligence
Requirements:
A master’s degree in computer science, data science, mathematics, or a related field
2 to 4 years of hands-on experience developing and implementing AI/ML models in production environments
Strong Python programming skills, including experience with API-building frameworks such as FastAPI and prototyping tools like Streamlit
Experience with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or similar is considered a strong asset
Solid understanding of machine learning including model evaluation techniques and familiarity with advanced applications such as NLP, forecasting, optimization, computer vision
Experience in working with cloud-based environments (Azure, AWS, or GCP) and ML pipelines is a strong asset
Experience with Generative AI technologies, prompt engineering, and large language models is a strong asset
Hands-on knowledge of vector databases (e.g., FAISS, Pinecone, Azure AI Search) for semantic search and retrieval-augmented generation (RAG) pipelines is a strong asset
Strong communication and business analysis skills and genuinely interested in understanding the customer’s business context and challenges
You can explain complex technical concepts in simple, accessible language to non-technical stakeholders
A collaborative, open-minded mindset and a drive to keep learning in a fast-evolving field
You're fluent in Dutch or French, as well as English
Nice to have:
Experience with machine learning libraries such as scikit-learn, TensorFlow, PyTorch, or similar
Experience in working with cloud-based environments (Azure, AWS, or GCP) and ML pipelines is a strong asset
Experience with Generative AI technologies, prompt engineering, and large language models
Hands-on knowledge of vector databases (e.g., FAISS, Pinecone, Azure AI Search) for semantic search and retrieval-augmented generation (RAG) pipelines
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
A flexible hybrid work model and a strong focus on work-life balance
A culture of innovation, inclusion, and continuous improvement where your ideas and input are valued
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