Partner with management, operation teams, IT and global solution teams to design and deliver digital solutions that enhance productivity, optimize operations and enable data-driven decisions
Job Summary
Partner with management, operation teams, IT and global solution teams to design and deliver digital solutions that enhance productivity, optimize operations and enable data-driven decisions.
Develop and implement full-stack software solutions, databases and analytics applications, ensuring seamless integration of data, systems and workflows.
Design, develop and deploy machine learning models and advanced algorithms to support predictive analytics, process optimization, anomaly detection and other value adding manufacturing use cases.
Matching Summary
Partner with management, operation teams, IT and global solution teams to design and deliver digital solutions that enhance productivity, optimize operations and enable data-driven decisions.
Skills & Requirements
Must-have
full stack software development
data pipeline development
machine learning model deployment
SQL, Python, Java, C#, VB, ASP.NET, MVC, PHP
ETL tools and REST APIs
relational and non-relational databases
BI platforms and AI/ML implementations
Nice-to-have
strong analytical thinking
innovative and results oriented
quickly learn new skills
work independently and collaboratively
stakeholder management skills
Key Requirements
Bachelor’s Degree in Software Engineering, Computer Science or equivalent
at least 5 years of relevant industrial working experience
Experience in full stack software development
Experience in software development lifecycle processes
Experience in modern data stacks and data integration workflows
Proven track records in developing and deploying data pipeline and business intelligence solutions for manufacturing and supply chain applications