AI Foundry Consultant

EDV Werke is looking for an  AI Foundry Consultant

Form of cooperation: B2B Contract

Working Model:  Remote

Requirements:

• Educational Background: Bachelor’s degree in Computer Science, Artificial Intelligence, Data Science, or a related field, or equivalent practical experience.
• Professional Experience: Proven experience working with Azure AI Foundry or comparable AI development platforms, including Azure Cognitive Services and Bot Framework. Hands-on expertise in building, optimizing, and deploying conversational AI models or chatbots.
• Technical Knowledge: Strong understanding of natural language processing (NLP) and machine learning methodologies. Skilled in AI model development processes such as training, fine-tuning, and testing.
• Integration Skills: Experience integrating AI solutions into enterprise applications such as Salesforce, PowerApps, or other business platforms to enhance workflows and user experience.
• Analytical and Problem-Solving Abilities: Demonstrated ability to analyze complex AI-related challenges and implement effective solutions with strong troubleshooting skills.
• Communication and Client Interaction: Excellent communication skills with experience in client-facing roles, capable of translating complex technical concepts into clear, understandable language.
• AI Solution Architecture: Experience designing and architecting AI-powered systems ensuring scalability, security, and maintainability in enterprise environments.
• Project Management: Proven ability to manage multiple AI development projects simultaneously, ensuring timely delivery and alignment with business objectives.
• Collaboration and Teamwork: Demonstrated ability to work effectively in cross-functional and multicultural teams, collaborating closely with data scientists, developers, and business stakeholders.
• Continuous Learning and Innovation: Committed to staying updated with the latest AI technologies and trends, proactively applying new knowledge to improve existing solutions and drive innovation.
• Quality Assurance and Testing: Expertise in validating AI models’ performance through rigorous testing, monitoring, and iterative improvements to meet accuracy and reliability standards.

Responsibilities:

• AI Model Development and Optimization: Design, develop, and optimize conversational AI models using Azure AI Foundry and related platforms.
• Conversational Agent Development: Build AI-powered chatbots and conversational agents for use cases such as customer service and business process automation.
• Model Fine-Tuning and Collaboration: Collaborate with data scientists and engineers to fine-tune AI models, enhancing performance, accuracy, and natural language processing.
• AI Consultation and Strategy: Provide expert advice on AI Foundry solutions and strategies to clients, recommending best practices for conversational AI integration.
• Workflow Assessment and Improvement: Analyze existing systems and workflows to identify AI opportunities that improve efficiency and user experience.
• Training and Knowledge Sharing: Lead workshops and training sessions for internal teams and clients on AI Foundry features and model optimization techniques.
• Business Application Integration: Work with technical teams to integrate AI models and conversational agents into enterprise platforms such as Salesforce and PowerApps.
• Data Integration and Optimization: Ensure smooth integration of external data sources and optimize data flow between AI systems and business applications.
• Performance Monitoring: Set up and manage monitoring systems to track AI model and chatbot performance.
• Reporting and Insight Generation: Generate performance reports and provide actionable insights for continuous AI model improvements.
• Scalability and Security Compliance: Ensure AI solutions are scalable, secure, and comply with relevant privacy regulations.
• Client Engagement and Requirements Gathering: Work directly with clients to gather requirements and ensure AI solutions meet business objectives.
• Post-Implementation Support: Provide ongoing technical support, troubleshooting, and optimization assistance to clients after deployment.
• Documentation and Knowledge Management: Document AI strategies, implementations, and solutions for internal and client use.
• Project Coordination and Management: Manage AI development projects, coordinating resources and timelines to meet delivery goals.
• Research and Innovation: Stay updated on new AI technologies and experiment with emerging tools to enhance conversational AI capabilities.
• Quality Assurance and Testing: Develop and execute testing protocols to ensure AI model accuracy, robustness, and ethical compliance.
• Risk Identification and Mitigation: Identify risks in AI deployments and implement strategies to address security and compliance challenges.
• Team Collaboration and Mentorship: Promote knowledge sharing, conduct code reviews, and mentor junior team members to strengthen AI expertise.

Benefits:

• Competitive salary with performance-based bonuses.
• Opportunities for professional development and advancement.
• Dynamic and collaborative work environment