AI Technical Expert
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Job Overview
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Job Description
About Candriam
Candriam is a global multi-specialist asset manager, renowned as a pioneer and leader in sustainable investment for over 25 years. They offer innovative and diversified investment solutions across various asset classes including fixed income, equities, absolute return, asset allocation, and illiquid assets. Candriam is committed to being a Responsible Employer, prioritizing Equal Employment Opportunity to build a diverse global team and fostering an inclusive work environment that supports wellbeing and work-life balance.
Mission of an AI Technical Expert
The AI Technical Expert will join Candriam's Transformation and Innovation Team, a transversal unit critical to driving strategic initiatives across IT and Business domains. This team is tasked with accelerating innovation, fostering continuous improvement, identifying and developing high-value automation and AI use cases, and ensuring strong alignment between technology solutions and business strategy.
As a catalyst between Business Units and IT Domains, the team ensures AI initiatives deliver measurable business value while adhering to Candriam's security, governance, and regulatory standards. Within this context, the AI Technical Expert will strengthen the team's internal artificial intelligence capabilities, define and execute the AI roadmap, and support the responsible, secure, and scalable adoption of advanced analytics, automation, and generative AI solutions across the organization.
Key Responsibilities
- Design, implement, and maintain AI/machine learning solutions.
- Consume existing APIs and develop robust APIs and microservices supporting business applications.
- Collaborate closely with business teams to identify high-value use cases and translate them into technical solutions with measurable impact.
- Ensure all solutions comply with security, data privacy, compliance requirements, and Candriam Standards and Policies.
- Stay abreast of emerging AI technologies, including generative AI, and evaluate their potential for business adoption.
- Actively contribute to Candriam's AI Community of Practice, fostering knowledge sharing, best practices, and cross-team collaboration.
Profile & Education Requirements
- Master's degree in Information Technology, Computer Science, Engineering, or a related field (or equivalent university degree).
- Fluency in both French and English is mandatory.
Experience
Candriam is open to candidates with varying levels of seniority, depending on their expertise and potential impact. Ideal candidates will bring:
- Proven experience as a Developer, AI Engineer, Data Engineer, ML Engineer, or Agentic AI specialist.
- Strong understanding of Asset Management and financial products (e.g., funds, portfolios, risk metrics, performance analysis).
- Experience working in Agile environments (Scrum, SAFe, or similar) and contributing to digital transformation initiatives within complex organizations.
Technical Skills
- Strong programming capabilities in Python and/or another modern language (e.g., Java, Scala, C#, etc.), adhering to production-grade coding standards.
- Hands-on experience with AI/ML frameworks and libraries (e.g., TensorFlow, PyTorch, scikit-learn, LangChain, etc.).
- Experience designing and consuming APIs, and building microservices-based architectures.
- Familiarity with cloud platforms (Azure, AWS, GCP), MLOps tooling, and CI/CD pipelines.
- Exposure to Power Automate or similar workflow automation tools is a plus.
- Good understanding of data security, privacy, and regulatory requirements in financial services.
Key skills/competency
- AI/Machine Learning
- Python Programming
- API Development
- Microservices Architecture
- Asset Management
- Financial Products
- Agile Methodologies
- Cloud Platforms (Azure, AWS, GCP)
- MLOps
- Generative AI
How to Get Hired at Jobs via eFinancialCareers
- Research Candriam's culture: Study their mission, values, recent news, and employee testimonials on LinkedIn and Glassdoor.
- Tailor your resume for AI: Highlight experience in AI/ML solutions, Python, and asset management to match the AI Technical Expert role.
- Showcase technical expertise: Prepare to discuss hands-on experience with TensorFlow, PyTorch, APIs, and cloud platforms.
- Understand financial services: Demonstrate knowledge of asset management, financial products, and regulatory compliance in interviews.
- Emphasize agile collaboration: Be ready to share examples of working in Agile environments and contributing to team innovation.
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