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Machine Learning Operations (MLOps) Engineer

Agile, Engineering - Other, Information Technology Job ID 2022-12398 Primary Location: Johnston, Rhode Island 01/16/2023
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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.


Responsibilities:

We currently have an opening for an MLOps engineer with experience creating and maintaining machine learning models using computer vision/image processing. The ideal candidate will have strong experience with ML model management tools and practices. 

Previous experience with the Agile SDLC methodology is preferred. 

As an MLOps 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 building machine learning models with a consistent methodology for determining performance, ongoing continuous improvement and tracking model output results 

Responsibilities

Participate in full lifecycle software development for Computer Vision (CV) Models, specifically their deployment and management in development, pre-production, and production environments. 

Advise on performance improvement and maturation strategies for models based on feature performance, in-situ model performance and stakeholder feedback. 

Manage deployment of ML models to production and assist in monitoring live site issues. 

Develop and iterate on release pipeline for ML models to drive incremental improvements. 

Collaborate with technology teams across FM Global in the development of new AI/ML capabilities and establish a best-in-class processes for model management and deployment. 

Provide guidance across CV team – from CV Data Scientists, Data Engineers, and DevOps – to support sustainable deployment of ML capabilities across AI/ML teams. 

Qualifications:

  • Experience with cloud platforms (AWS, Azure, GCP), especially with AI/ML solutions 
  • Understanding of software engineering, including performance tuning, algorithm design, and architecture 
  • Experience with large batch processes operations 
  • Excellent debugging knowledge of requisite tools 
  • Supported full-stack systems design, observability, and live site management 
  • Experience with automated testing of machine learning artifacts 
  • Experience deploying projects and platforms through CI/CD, Git, and automation 
  • Experience with scaling production models using containerization 
  • Experience establishing system health monitoring and observability solutions 

Additional Preferred Skills

  • Experience working with Agile methodologies and frameworks 
  • Experience working in Azure cloud and using Azure Machine Learning toolset 

Education

Bachelor's degree in Computer Science, Engineering, Information Technology, or related field is preferred 

The salary range for this position is $80,400 to $115,600. 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. 

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