About the Role

In this role, you’ll be part of an agile, cross-functional team of engineers, data scientists, and stakeholders, contributing to the development and deployment of scalable ML applications. You’ll work across the entire ML lifecycle, supporting strategic initiatives related to forecasting, supply chain optimization, and AI-driven decision-making.

Responsibilities

• Develop end-to-end AI/ML software solutions, from data exploration to production deployment
• Build and maintain scalable data infrastructure for ML development and operations
• Design and implement MLOps components including versioning, monitoring, and pipeline orchestration
• Write clean, maintainable, and scalable code aligned with software engineering best practices
• Ensure production-grade quality in terms of performance, security, and maintainability
• Support both batch and real-time inference use cases with reliable deployment strategies
• Contribute to architectural design, technical roadmap, and documentation
• Collaborate with stakeholders to align solutions with business needs

About You

You are a senior ML Engineer with a strong background in software development and applied AI. You're comfortable working in cloud-native environments and understand the complexities of operationalizing machine learning. Your experience in large organizations and high-volume data environments enables you to drive robust, scalable solutions that meet business and technical demands.

Experience and Skills

• Have a BSc or MSc degree in Computer Science, Machine Learning or related technical field, or equivalent practical experience.
• Minimum 5 years of experience in ML Engineering, ideally in supply chain or forecasting domains
• Extensive hands-on experience developing and deploying ML products at scale
• Strong proficiency in Python (4+ years), including backend service development
• Proven experience with MLOps, including data/ML pipelines and production deployments
• Deep familiarity with Google Cloud Platform, especially Vertex AI
• Solid SQL skills and experience with DBT and cloud-based data storage
• Strong foundation in machine learning theory and frameworks
• Experience working with batch and streaming data in high-volume environments
• Skilled in agile development, stakeholder communication, and requirement breakdown
• Required certification: GCP Professional Machine Learning Engineer
• Fluent in English

About the assignment

For this assignment you will be hired as a full-time consultant by Digitalenta. We offer our consultants a generous package including healthcare allowance, insurance policy, paid vacation days and pension savings. In addition, you'll also have a dedicated consultant manager available throughout your employment with us, in addition to optional networking activities with our network of consultants.