Required for a fully remote contract, a senior level Machine Learning Engineer, ideally with experience in supply chain and demand forecasting business and solutions.

Role:

• Develop AI/ML software products and solutions: large data sets, feature engineering, data pipelines, test and evaluate.
• Design, develop and maintain the large-scale data infrastructure required for the AI/ML projects.
• Leverage on understanding of software architecture and software design patterns contributing to architectural decisions, technical roadmap planning, technical documentation, and to write scalable, maintainable, well-designed, and future-proof code.
• Develop solutions, components, services and frameworks to address both specific and common needs in AI/ML projects, like feature reuse, model traceability, monitoring, A/B test, versioning, release, and serving of both online inference endpoints and batch inference.
• Work in cross-functional agile team of highly skilled engineers, data scientists, and business stakeholders - to build an AI ecosystem.

Required skills and experiences:

• Degree in Computer Science, Machine Learning or related technical field, or equivalent practical experience.
• Have 5+ years' professional experience working in relevant role(s) for a senior level Machine Learning Engineer.
• A hands-on person, with great software engineering skills, who loves coding, and knows how to apply good software engineering practices, DevOps, testing and SRE principals - also to machine learning and AI projects.
• Have extensive experience in developing software products that have been successfully deployed to production and scaled in a bigger organization, also ensuring and fulfilling product quality, cybersecurity and performance requirements.
• Have several years of coding experience in modern programming languages, and strong background in Python programming, ie 4+ years, developing Back End services and preferably also using FastAPI.
• Have great hands-on experience with cloud technologies for cloud solutions and ML development, ideally Google Cloud Platform, and also including Vertex AI.
• Have solid experience in MLOps practices, developing ML pipelines, data pipelines and deploying ML applications to production.
• Have a foundational data science background and a strong working knowledge of a variety of AI/ML techniques and experience working with different frameworks.
• Have experience handling and developing for high volume heterogeneous data (both batch and stream), preferably also including hands-on development in SQL and DBT, and have a solid understanding of cloud data storage technologies and data quality.
• Have experience from aligning and analysing requirement; driving design solutions; breaking down work into stories and tasks; communicating with stakeholders and supporting team members; and making sure organizational standards and best-practices are implemented and followed.

To arrange a Teams-based interview, please email your CV in the first instance to: (see below)

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