Iron Mountain Machine Learning Engineer in Reguły, Poland
At Iron Mountain we protect what our customers value most, from the everyday to the extraordinary. We build customer value around the world with a passion for preserving the physical, transforming the digital, and respecting the environmental. We pioneered the industry for global records and information management and have established some of the best customer relationships in the industry with 95% of the Fortune 1000 companies among our 225,000 loyal customers. Here, you’ll bring your expertise and creativity to a workplace that thrives on continuous improvement. Here, you’ll be part of a global workforce that embraces the differences among us. And here, we’ll encourage you to Climb Higher for the benefit of our customers and each other. There is so much more, but enough about us. We can’t wait to hear about YOU.
Iron Mountain InSight is a cutting-edge AI enablement platform that applies industry leading Machine Learning (ML) technology to classify and extract entities from unstructured content (Document Images, Audio and Video files, other data files and sources).
The ML engineer works closely with multiple internal Iron Mountain teams to develop and deliver quality ML solutions, create/enhance ML tools for performance improvement.
Essential Job Responsibilities:
●Design and development of ML models to perform classification and entity extraction of various forms of digital content (Images, Audio/video, and other digital file formats).
●Work with project managers, solution architects and other engineers to build and deploy ML solutions into Iron Mountain Insight Platform.
●Perform feasibility analysis and deliver PoC (Proof of Concept) for various customer requirements.
●Applying effective visualization tools to make analysis and results intuitive and informative to the team and customers.
●Participating in R & D to build Iron Mountain IP (Intellectual Property).
●Work closely with the business to identify issues and use data to propose solutions for effective decision-making.
Functional Knowledge Skills & Competencies:
Education: Master/Bachelor/PhD degree in Computer Engineering, Computer Science or related discipline
Deep understanding on Machine Learning and AI techniques.
Professional experience in Python programming.
Deep understanding of Cloud Technologies and solutions - GCP Preferred.
Strong technical background and understanding of enterprise solutions
Proven internal/external written and verbal communication, interpersonal and analytical skills
Ability to multitask and prioritize issues in a complex environment.
ML-related publication preferred.
Experience working in an Agile environment
Good team player
Category: gja_Information Technology
Iron Mountain Incorporated, founded in 1951, is the global leader for storage and information management services. Trusted by more than 225,000 organizations around the world in approximately 50 countries, Iron Mountain stores and protects billions of valued assets, including critical business information, highly sensitive data, and cultural and historical artifacts.
Providing solutions that include information management, digital transformation, secure storage, secure destruction, as well as data centers, cloud services, and art storage and logistics, Iron Mountain helps customers lower cost and risk, comply with regulations, recover from disaster, and enable a digital way of working.
Our Cores Values and Code of Ethics are our north star. They provide a solid base for how we do business and behave every day, so each one of us can experience exceptional.
If you have a physical or mental disability that requires special accommodations, please let us know by sending an email to email@example.com. See the Supplement to learn more about Equal Employment Opportunity.
Iron Mountain is committed to a policy of equal employment opportunity. We recruit and hire applicants without regard to race, color, religion, sex (including pregnancy), national origin, disability, age, sexual orientation, veteran status, genetic information, gender identity, gender expression, or any other factor prohibited by law.
To view the Equal Employment Opportunity is the Law posters and the supplement, as well as the Pay Transparency Policy Statement, CLICK HERE