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Machine Learning Engineer

More information about this job:

Overview:

FM Global is a leading property insurer of the world's largest businesses, providing more than one-third of FORTUNE 1000-size companies with engineering-based risk management and property insurance solutions. FM Global helps clients maintain continuity in their business operations by drawing upon state-of-the-art loss-prevention engineering and research; risk management skills and support services; tailored risk transfer capabilities; and superior financial strength. To do so, we rely on a dynamic, culturally diverse group of employees, working in more than 100 countries, in a variety of challenging roles.

We currently have an opening for an ML engineer with computer vision/image processing experience. The ideal candidate will have strong experience with ML models created using Python, have working knowledge of data pipelines and experience building production-ready ML models. Previous experience with the Agile SDLC methodology is preferred.

As an ML Engineer you bring:

  • Strong problem-solving skills
  • Commitment to delivery
  • Excellent communication skills and a desire to collaborate openly within a fast-moving team
  • A deep desire to learn and apply technology in a pragmatic way to create client value
  • Experience designing and building systems that are maintainable, evolvable and highly tested
This position is open to candidates seeking remote opportunities. Candidate must be open to periodic travel to headquarters located in Johnston, RI dependent on business needs. Must be willing to work EST hours.


Responsibilities:

  • Productionize computer vision AI/ML models developed by data scientists by identifying opportunities to improve efficiency in training and scoring
  • Devise performance improvement and maturation strategies for models based on feature performance, in-situ model performance and stakeholder feedback
  • Support development and improvement of shared libraries for data scientists
  • Optimize ML models for deployment, improving sustainability and performance
  • Contribute to improvement of metadata catalog, A/B testing framework, and other associated toolkits
  • Work cross-functionally in AI/ML team to drive continued improvement of processes and deliver the next set of improvements
  • Partner with other functions to drive long-term roadmap, improved capabilities, and share results/processes with the organization more broadly

Qualifications:

Skills/Knowledge
  • Experience working with large imagery datasets and managing these datasets for model training and scoring
  • Knowledge of common imagery formats and their associated technical packages
  • Experience with deep learning using PyTorch, Tensorflow, Keras
  • Knowledge of production systems, experience designing sustainable ML model deployments and driving those requirements to reality
  • Experience with scaling production models using containerization
  • Fluency in Python; some experience with production pipeline coding (Java/Go/Scala)
  • Bachelor’s or Master’s degree in Computer Science, Computational Science, or related field is preferred

Additional Preferred Skills
  • Experience working with Agile methodologies and frameworks
Experience working in Azure cloud and Azure Machine Learning

The salary range for this position is $85,800 to $123,300. The final salary offer will vary based on geographic location, individual education, skills, and experience. The position is eligible to participate in FM Global’s comprehensive Total Rewards program that includes an incentive plan, generous health and well-being programs, a 401(k) and pension plan, career development opportunities, tuition reimbursement, flexible work, time off allowances and much more.

FM Global is an Equal Opportunity Employer and is committed to attracting, developing, and retaining a diverse workforce.

A Promise to Protect the Value of Your Business Understanding why we’re a different kind of insurance company is as simple as understanding the commitment we make to every client. Our Value Proposition We want to help you protect the business...

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DATE POSTED
July 21, 2023

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