Senior AI/ML Data Architect

A globally recognized Fortune 1000 organization headquartered in The Netherlands, operating in the capital goods sector with a workforce of more than 120,000 employees, is seeking an experienced and innovation-driven AI/ML Data Architect to join its advanced technology division. The ideal candidate will play a critical role in designing, developing, and deploying Artificial Intelligence and Machine Learning solutions that directly contribute to business transformation, operational efficiency, and revenue optimization.

This role is best suited for professionals with deep expertise in Machine Learning, Deep Learning, data architecture, cloud platforms, and large-scale data engineering. The selected candidate will work on complex enterprise-level projects involving structured and unstructured data, predictive analytics, NLP, computer vision, and advanced AI systems. The position demands strong analytical thinking, hands-on technical expertise, and the ability to collaborate with global cross-functional teams to solve critical business challenges through intelligent automation and scalable AI solutions.

Key Responsibilities

• Design, develop, and implement advanced AI and Machine Learning models to solve large-scale business challenges and improve operational efficiency.
• Build forward-compatible and backward-compatible AI solutions that support long-term scalability and evolving business requirements.
• Analyze business problems, technical requirements, and datasets to identify optimal AI/ML approaches and deployment strategies.
• Estimate model deployment costs, infrastructure requirements, and performance optimization strategies for enterprise environments.
• Collaborate with business teams, data engineers, developers, and stakeholders to define AI-driven solutions for complex operational bottlenecks.
• Develop, train, test, and optimize Machine Learning and Deep Learning models using Python, R, SQL, and cloud-based data pipelines.
• Perform advanced data preprocessing, feature engineering, and data transformation for high-quality model performance.
• Design and deploy NLP-based applications including text classification, sentiment analysis, topic modeling, summarization, and custom entity recognition.
• Build relationship extraction models and reasoning-based knowledge graph systems for intelligent business insights.
• Develop image recognition and computer vision models using Deep Learning frameworks and open-source tools such as OpenCV.
• Create advanced video analysis systems using state-of-the-art Deep Learning algorithms and neural network architectures.
• Utilize TensorFlow, PyTorch, and related frameworks for scalable model development and deployment.
• Optimize AI/ML models to achieve maximum prediction accuracy, speed, and computational efficiency.
• Validate and monitor model performance using data visualization and analytics tools such as Power BI and Tableau.
• Work closely with application development teams to deploy AI models on cloud platforms and enterprise infrastructure.
• Deploy AI and ML solutions in testing and production environments while creating CI/CD pipelines for automated deployment workflows.
• Integrate AI systems with enterprise applications and third-party platforms using REST APIs and microservices architecture.
• Develop scalable cloud-based AI services and support on-premises deployment when required.
• Conduct business impact analysis to evaluate the effectiveness of AI-driven initiatives across industries and operational processes.
• Contribute to innovation programs, AI research initiatives, technical documentation, and white paper publications.
• Continuously improve AI models using mathematical, statistical, and Machine Learning optimization techniques.
• Manage version control, collaborative development workflows, and repository management using Git and GitHub.
• Ensure compliance with data security, data privacy, and enterprise governance standards across AI/ML projects.
• Handle large-scale data ingestion, processing, storage, and distributed computing environments efficiently.
• Build rapid AI prototypes and proof-of-concept solutions based on high-level business requirements.
• Drive innovation-focused development practices and contribute to next-generation AI technology initiatives.
• Communicate technical concepts, project progress, and strategic recommendations effectively in meetings and large forums.
• Stay updated with emerging trends in Artificial Intelligence, Deep Learning, cloud computing, and enterprise automation technologies.

Required Skills and Qualifications

• Bachelor’s or Master’s degree in Computer Science, Artificial Intelligence, Data Science, Machine Learning, Engineering, Mathematics, or a related field.
• Extensive professional experience in AI/ML architecture, Deep Learning, data engineering, and enterprise analytics solutions.
• Strong expertise in Python, R, SQL, and cloud-based AI/ML development environments.
• Hands-on experience in Deep Learning frameworks such as TensorFlow, PyTorch, and Keras.
• Advanced knowledge of Natural Language Processing, Computer Vision, Neural Networks, and predictive analytics techniques.
• Experience in building NLP applications for text classification, entity recognition, summarization, and relationship extraction.
• Strong understanding of image processing, video analytics, and computer vision systems using OpenCV and related tools.
• Expertise in handling large-scale datasets using PySpark, Hadoop, and distributed data processing technologies.
• Extensive hands-on experience with Genetic Algorithms and advanced optimization techniques.
• Practical experience in AI model tuning, performance optimization, and production deployment.
• Experience working with enterprise AI platforms such as Data Robot, Cognitive Scale, and H2O.ai.
• Strong knowledge of cloud platforms including AWS, Microsoft Azure, Google Cloud Platform, IBM Watson, and Oracle Cloud.
• Experience with REST APIs, microservices architecture, and cloud-native application deployment.
• Understanding of data security, privacy standards, governance frameworks, and enterprise compliance requirements.
• Familiarity with RPA, edge computing, AR/VR technologies, and intelligent automation systems.
• Strong experience with Git, GitHub, CI/CD pipelines, and collaborative software development practices.
• Ability to work on multiple AI projects simultaneously while managing priorities and deadlines effectively.
• Excellent analytical, communication, presentation, and problem-solving skills.
• Experience contributing to open-source communities, AI research, or technical forums is highly preferred.
• Strong innovation mindset with the ability to create scalable and business-focused AI solutions.

Additional Benefits

• Opportunity to work with a globally recognized Fortune 1000 organization operating across multiple international markets.
• Exposure to enterprise-level AI, Machine Learning, and advanced analytics projects with large-scale business impact.
• Collaborative work environment with highly experienced technology professionals, data scientists, and AI researchers.
• Access to modern cloud technologies, enterprise AI platforms, and advanced Deep Learning infrastructure.
• Opportunity to contribute to innovative AI initiatives, research publications, and emerging technology solutions.
• Gain hands-on experience with large-scale datasets, intelligent automation systems, and advanced cloud deployments.
• Career growth opportunities in Artificial Intelligence, enterprise architecture, and global technology leadership roles.
• Dynamic and innovation-driven work culture focused on learning, experimentation, and continuous improvement.
• Opportunity to work on cutting-edge technologies including NLP, Computer Vision, AR/VR, edge computing, and intelligent automation.
• Competitive compensation, professional development opportunities, and exposure to global digital transformation initiatives.