Talan is a consulting firm specializing in innovation and transformation through technology. For over 20 years, Talan has been advising businesses and public institutions, supporting them, and implementing their transformation and innovation projects in France and internationally. Operating on five continents, the group expects to achieve a turnover of €600 million in 2023 with more than 6,000 consultants and aims to exceed the €1 billion revenue mark by 2025.
The group places innovation at the heart of its development and operates in areas related to the technological transformations of large corporations, such as Big Data, IoT, Blockchain, and Artificial. Actively participating in major industry events like Viva Technology, Talan regularly contributes to discussions on the challenges posed by these revolutionary technologies, alongside key industry players and policymakers (Syntec Numérique, Artificial Intelligence Forum, French Fab Tour, Forum de Giverny, among others).
For the eighth consecutive year, Talan has been recognized as one of the best French companies to work for.
Present in Geneva and Lausanne, Talan Switzerland now has nearly 170 employees. Initially focused on the financial sector, Talan has expanded in recent years into the watchmaking, insurance, media, and services industries.
Job Description
We are looking for an AI & ML Developer to design, develop, and deploy scalable AI and ML solutions on Azure, with a strong focus on generative AI models and AI agents. This is a high-impact role where you will work on cutting‑edge AI‑driven automation, fine‑tune large language models (LLMs), and ensure seamless integration with enterprise systems.
This position requires hands‑on expertise in AI/ML development, MLOps, and cloud integration. If you are passionate about AI innovation, automation, and governance, this is an exciting opportunity to work on strategic AI initiatives.
Key Responsibilities
AI Solution Development
* 🧠 Generative AI & AI Agent Development: Develop and integrate AI‑powered solutions using Azure AI Studio and related Microsoft tools.
* 🤖 Intelligent Agent Development: Build AI‑driven business process automation to enhance operational efficiency.
* 🎯 Model Fine‑tuning & Optimization: Customize and fine‑tune large language models (LLMs) (e.g., GPT‑based models) for enterprise applications.
* 🛡️ Secure & Scalable Deployment: Ensure secure, scalable AI applications compliant with enterprise standards.
* 🔗 System Integration: Seamlessly integrate AI models with enterprise systems, APIs, and data pipelines.
* ⚖️ AI Governance & Compliance: Adhere to ethical AI policies and industry best practices.
* 🚀 Innovation & Prototyping: Experiment with emerging AI technologies to explore new business use cases.
* 🔍 ML Model Design & Optimization: Design, implement, and optimize ML models and pipelines using Azure Machine Learning Studio.
* 🔄 Full‑Cycle ML Development: Manage the end‑to‑end ML lifecycle, from data preprocessing to deployment and monitoring.
* ☁️ Cloud Integration: Deploy ML models with Azure Data Lake, Azure Functions, and other Azure cloud services.
* ⚙️ MLOps Implementation: Apply MLOps best practices, including automated workflows, CI/CD pipelines, and model performance monitoring.
* 🤝 Stakeholder Engagement: Collaborate with data scientists and business teams to transition research prototypes into production‑ready AI/ML solutions.
* 📈 Model Performance Tuning: Optimize models using hyperparameter tuning, parallel runs, and custom compute targets.
* 📑 Documentation & Reporting: Maintain comprehensive documentation on ML workflows, configurations, and project progress.
Qualifications
✅ Education & Certifications
* Bachelor’s or Master’s degree in Computer Science, AI, Machine Learning, or related fields.
* Certifications in Azure AI & Machine Learning are a strong plus.
✅ Experience Required
* Proven track record in AI & ML development with expertise in Azure AI & Machine Learning Studio.
* Hands‑on experience in generative AI model development and LLM fine‑tuning.
* Strong background in MLOps, CI/CD pipelines, and cloud‑based AI integration.
✅ Technical Expertise
* AI & ML Frameworks: TensorFlow, PyTorch, Scikit‑learn, OpenAI API.
* Strong problem‑solving abilities and analytical mindset.
* Excellent communication skills, able to collaborate with technical and business stakeholders.
* Passion for AI innovation, ethical AI, and cutting‑edge ML solutions.
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