Value Engineering Manager collaborating with sales professionals to deliver exceptional customer outcomes. Ensuring customers unlock full potential of Tanium software solutions while articulating value proposition to stakeholders.
About the role
- 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
Benefits
- Flexible work arrangements
- Professional development opportunities
Job title
Job type
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Salary
Not specified
Degree requirement
Tech skills
Location requirements
Value Engineering Manager at Tanium collaborating with sales teams to drive value delivery strategies and tailor solutions for customers. Actively engage in thought leadership and training initiatives for maximizing product value.
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