As a Senior AI/ML Engineer, you will: - Design, develop, and deploy scalable AI, Machine Learning, and Generative AI solutions for enterprise applications. - Build intelligent automation solutions, predictive analytics models, incident prediction systems, root cause analysis engines, and AI-powered knowledge assistants. - Develop production-grade Python applications, APIs, and microservices to expose AI capabilities across enterprise platforms. - Design and implement robust data ingestion, preprocessing, feature engineering, and transformation pipelines for large-scale datasets. - Integrate AI/ML models into Azure DevOps CI/CD pipelines, enabling automated model building, testing, deployment, and monitoring. - Build and maintain MLOps pipelines to support continuous model training, validation, deployment, versioning, and lifecycle management. - Collaborate with DevOps, platform engineering, data engineering, and product teams to deliver reliable, scalable AI solutions. - Optimize AI models for accuracy, scalability, performance, and operational efficiency within enterprise environments. - Ensure AI solutions comply with enterprise governance, security, audit, and regulatory standards. - Participate in architecture discussions, technical design reviews, and continuous improvement initiatives for AI platforms. What You Bring to the Table: - 6–8 years of experience in Python development, AI/ML engineering, or enterprise software development. - Strong hands-on expertise in Python for developing scalable backend applications and AI solutions. - Experience designing, training, validating, deploying, and optimizing Machine Learning and Deep Learning models. - Practical experience building Generative AI applications, AI Agents, intelligent automation solutions, or conversational AI systems. - Strong knowledge of Azure cloud services and Azure DevOps for enterprise application delivery. - Experience implementing CI/CD pipelines and MLOps workflows for AI model deployment and lifecycle management. - Strong understanding of data engineering concepts including data preprocessing, feature engineering, and pipeline orchestration. - Experience developing RESTful APIs and microservices to expose AI capabilities. - Familiarity with enterprise DevOps tools such as Azure DevOps, Nexus, Ansible, and related automation frameworks. - Strong analytical, problem-solving, communication, and stakeholder management skills. You Should Possess the Ability to: - Design end-to-end AI solutions from concept through production deployment. - Build scalable, maintainable, and secure Python applications for enterprise environments. - Integrate AI capabilities seamlessly into DevOps and CI/CD ecosystems. - Design and maintain production-ready MLOps pipelines supporting continuous delivery of AI models. - Translate complex business challenges into practical AI-driven solutions. - Collaborate effectively with business stakeholders, architects, DevOps engineers, and data teams. - Monitor, troubleshoot, and continuously improve AI model performance in production. - Ensure enterprise-grade governance, security, compliance, and operational excellence throughout the AI lifecycle. What We Bring to the Table: - Opportunity to work on enterprise-scale AI, Machine Learning, and Generative AI transformation initiatives. - Exposure to modern cloud-native architectures, MLOps platforms, and Azure DevOps ecosystems. - Collaborative environment involving AI engineers, cloud architects, DevOps specialists, and business stakeholders. - Challenging projects focused on intelligent automation, predictive analytics, and enterprise AI innovation. - Opportunities for continuous learning, technical leadership, and professional growth. - A culture that values innovation, engineering excellence, and knowledge sharing. Let’s Connect Want to discuss this opportunity in more detail? Feel free to reach out. Recruiter: Giftson Paul Davidson Phone: +31 20 369 0609 ; Extn : 151 E-mail: giftson.p@stafide.nl LinkedIn: https://www.linkedin.com/in/giftsonpauldavidson/