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Senior AI Consultant

vor 1 Monat

Lausanne, Schweiz Talan SA Vollzeit

Senior AI Consultant

  • Full-time
  • Contract Type: Long term contract

Company Description

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 Intelligence. 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 a leading IT services company specializing in data and AI-driven solutions, supporting our clients in their digital transformation journeys. Our mission is to design and implement cutting-edge AI and ML solutions that unlock business value through intelligent automation, advanced analytics, and data-driven decision-making.

As part of an ambitious new initiative, we are seeking a Senior AI Consultant with expertise in Azure AI Studio and Azure Machine Learning Studio to design, develop, and deploy generative AI and machine learning solutions that will optimize business processes and enhance operational efficiencies.

Why Join Us?

  • Strategic Role: Work on high-impact AI initiatives.
  • Cutting-Edge Technologies: Leverage Azure AI Studio, Azure ML Studio, and large language models (LLMs) to build generative AI solutions.
  • Innovative Environment: Engage in continuous exploration of emerging AI and ML technologies.
  • End-to-End Ownership: Lead AI projects from ideation to deployment with full technical and strategic ownership.
  • Ethical AI Focus: Ensure responsible AI governance and ethical practices.

Key Responsibilities

AI Solution Development

  • Generative AI Development: Design and integrate AI agents using Azure AI Studio for enterprise environments.
  • Intelligent Agent Creation: Develop AI-powered intelligent agents to automate and optimize business processes.
  • Model Fine-tuning: Customize and fine-tune large language models (LLMs) (e.g., GPT-based models) for enterprise applications, ensuring optimal performance.
  • ️ Secure & Scalable Deployment: Deploy secure and scalable AI applications compliant with enterprise architecture and security standards.
  • System Integration: Seamlessly integrate AI models with enterprise systems, APIs, and Azure cloud services.
  • ️ Responsible AI Governance: Ensure strict adherence to ethical AI practices and industry best standards.
  • Innovation & Experimentation: Prototype and test emerging AI technologies for innovative use cases.

Machine Learning Solution Development

  • ML Model Design & Optimization: Design, develop, and optimize ML models using Azure Machine Learning Studio.
  • Full-Cycle ML Development: Oversee the ML lifecycle, including data preprocessing, feature engineering, model training, deployment, and monitoring.
  • ️ Cloud Integration: Integrate ML models with Azure Data Lake, Azure Functions, and other Azure services for seamless workflows.
  • ️ MLOps Implementation: Apply MLOps best practices, automating ML workflows, CI/CD pipelines, and monitoring performance.
  • Stakeholder Engagement: Collaborate with data scientists and business stakeholders to translate research prototypes into production-grade solutions.
  • ️ Model Optimization: Enhance model performance through hyperparameter tuning, parallel runs, and custom compute targets.
  • Documentation & Reporting: Provide comprehensive documentation and regular updates on project progress.

Deliverables

  • Customized AI Agents: Deployed AI agents integrated with enterprise systems, tailored to business needs.
  • Workflow Automation: AI-powered automation solutions, optimized for operational efficiency.
  • ️ Production-Ready ML Pipelines: Fully integrated ML pipelines with monitoring and alerting mechanisms.
  • Automated CI/CD Workflows: Streamlined deployment and update processes for AI and ML solutions.
  • Technical Documentation: In-depth documentation of model configurations, integration processes, and optimization techniques.
  • Performance Monitoring: Continuous model performance evaluation and optimization.
  • Status Reports: Regular reports covering project milestones, performance metrics, and improvement recommendations.

Qualifications

  • Educational Background: Master’s degree in Computer Science, AI, Machine Learning, or related fields.
  • Experience: 8+ years of experience in designing and deploying AI and ML solutions, particularly on Azure.
  • Technical Expertise:
  • Hands-on experience with Azure AI Studio and Azure Machine Learning Studio.
  • Strong proficiency in generative AI, LLM fine-tuning, and AI agent development.
  • Deep understanding of MLOps, CI/CD pipelines, and cloud integration.
  • Soft Skills:
  • Excellent stakeholder management skills; able to defend ideas confidently to executive leadership.
  • Strong leadership capabilities with a proactive and autonomous work approach.
  • Proven communication skills with both technical teams and business stakeholders.
  • ️ Nice to Have: Previous experience working with state agencies or the social sector.
  • Ethical Mindset: Strong commitment to responsible AI practices and ethical governance.
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