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Machine Learning Engineer

85% Flex
EXTRA HOLIDAYS - EXTRA PARENTAL LEAVE - FULLY FLEXIBLE - 4 DAY WEEK
Remote: 
Full Remote
Work from: 

Offer summary

Qualifications:

Master/Bachelor/PhD in Computer Engineering/Science or related, Proficient in Python and ML/AI techniques, cloud technologies.

Key responsabilities:

  • Design and develop ML models for various digital content
  • Collaborate with teams to deploy solutions and perform feasibility analysis
Iron Mountain logo
Iron Mountain Information Technology & Services Large http://www.ironmountain.com/
10001 Employees
HQ: Boston
See more Iron Mountain offers

Job description

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Your missions

At Iron Mountain we know that work, when done well, makes a positive impact for our customers, our employees, and our planet. That’s why we need smart, committed people to join us. Whether you’re looking to start your career or make a change, talk to us and see how you can elevate the power of your work at Iron Mountain.

We provide expert, sustainable solutions in records and information management, digital transformation services, data centers, asset lifecycle management, and fine art storage, handling, and logistics. We proudly partner every day with our 225,000 customers around the world to preserve their invaluable artifacts, extract more from their inventory, and protect their data privacy in innovative and socially responsible ways. 

Are you curious about being part of our growth stor​y while evolving your skills in a culture that will welcome your unique contributions? If so, let's start the conversation.

Machine Learning Engineer - 100% Remote Position

Job Summary:

At Iron Mountain, we protect what our customers value most, from the everyday to the extraordinary, while helping them bridge the physical and digital world. Today, we help our customers, including 95% of the Fortune 1000, to preserve priceless art, restore classic films, outsource their data centers around the globe and more. Our people have the opportunity to bring their creativity to a workplace that thrives on change. Here you will be part of a team that doesn't just embrace what is exceptional. It is exceptional. The Global Production and Technology team at Iron Mountain deploys data center space and services to address growing customer needs with afforded greater convenience and accessibility.

The Machine Learning Engineer position is in Iron Mountain Digital Business Unit that provides a content services platform that provides actionable business insights and predictive analytics through cutting-edge Machine Learning (ML)-based technology, which adds structure, context and meta-data to make data more usable. The resulting enriched content can then enable enhanced automated governance and workflows for our customers. 
 
Essential Job Responsibilities:

⦁    Design and development of ML models to perform unsupervised and supervised learning (e.g., classification and entity extraction) on various forms of digital content (images, pdf, and other digital file formats).
⦁    Work with project managers, solution architects and other engineers to build and deploy ML solutions into Iron Mountain 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 

Skills:

  • Professional experience in Python programming, familiar with open source libraries (numpy, pandas, pytorch, ski-learn, matplotlib, etc.) 

  • Deep understanding of Machine Learning and AI techniques, including computer vision and/or natural language understanding, and large foundation models.  

  • Work experience of projects using CNN/transformer/LLM,  Huggingface models and data. 

  • Deep understanding of Cloud Technologies and solutions (e.g., gcp, aws, azure). 

  • 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.

  • Experience working in an Agile environment

  • Good team player

  • ML-related publication preferred

#LI-Remote

Category: Information Technology

Required profile

Experience

Industry :
Information Technology & Services
Spoken language(s):
English
Check out the description to know which languages are mandatory.

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