Senior Machine Learning Engineer – 10431

Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in securing the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
Assignment Description:
We are looking for a Senior Machine Learning Engineer to join our dynamic team.
What you will work on:
Develop AI/ML software products, from exploring large datasets, applying new algorithms, and feature engineering, to testing, evaluating, and deploying models for production usage.
Build, maintain, and scale large-scale data infrastructure to support AI/ML projects, ensuring it is robust, scalable, and maintainable.
Contribute to software architecture decisions and the technical roadmap by applying software design patterns and best practices for scalable, maintainable, and future-proof code.
Develop reusable components, services, and frameworks that address common AI/ML needs, including feature reuse, model traceability, monitoring, A/B testing, versioning, and release management.
Serve both online inference endpoints and batch inference solutions for scalable deployment of AI/ML models.
Work closely with cross-functional agile teams of engineers, data scientists, and business stakeholders to build a strong AI ecosystem within the company.

What you bring:
BSc or MSc degree in computer science, engineering, or a related field, or equivalent practical experience.
5+ years of professional experience in a senior Machine Learning Engineer role, with proven success in deploying ML solutions at scale in larger organizations.
Strong software engineering skills with hands-on experience in coding, following DevOps principles, and applying software engineering best practices to ML projects.
Extensive experience with Python programming (4+ years), including the development of AI/ML products that are production-ready, secure, and performance-optimized.
Solid expertise in cloud technologies for ML development, particularly Google Cloud Platform and Vertex AI.
Deep understanding of MLOps practices, including the development of ML pipelines, data pipelines, and deploying ML applications into production environments.
Strong working knowledge of various AI/ML techniques and frameworks.
Experience handling large-scale, heterogeneous data (both batch and stream), including hands-on development with DBT and a strong grasp of cloud data storage technologies and data quality management.
Experience in requirement alignment, solution design, task breakdown, mentoring team members, and ensuring adherence to organizational standards and best practices.
Familiarity with agile methodologies, data-driven development, and team collaboration tools and practices.