AI & Data Solution Architect at Seco shaping manufacturing with data and automation. Leading development of scalable, cloud-native data and AI solutions aligned with business goals.
Responsibilities
Architect and lead the development of end-to-end data and AI solutions
Experiment with and evaluate ML and GenAI models
Collaborate across teams to translate business needs into scalable technical solutions
Design and implement MLOps pipelines covering model training, deployment, monitoring and retraining
Collaborate with data engineers, AI engineers and product owners to turn prototypes into robust, production-ready solutions
Build full stack applications that connect seamlessly with analytics tools and AI models
Drive governance, reproducibility, and cost efficiency throughout our data landscape
Requirements
Extensive experience in solution architecture and full stack development within the data and AI domain
Proficient in front-end and back-end technologies
Cloud platforms experience
Experience with data engineering, analytics and machine learning workflows
Designing and deploying scalable APIs and microservices
Excellent English skills, verbally and in writing
Familiarity with Lakehouse architecture, data lakes and platforms like Databricks
Experience applying data governance, MLOps, and AI in real-world projects
Knowledge of CI/CD pipelines, containerization (Docker, Kubernetes) and DevOps practices
Bachelor’s or master's degree in computer science, engineering, data science, or a related field—or equivalent practical experience
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