Machine Learning Engineer, Analytics and Data Services- REMOTE OPTION- CAN

Canada - Remote

Guidewire Software

Elevate your P&C insurance with Guidewire's industry-leading software! Streamline workflows, enhance customer experience, and drive growth. Learn more today!

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Ready for a new challenge? Join Guidewire as a Machine Learning Engineer! We would love to see your background! Our Machine Learning team here at Guidewire is responsible for building Machine Learning Systems and Tools that make Guidewire products more intelligent and helps deliver analytics at scale. We are constantly faced with results-oriented challenges in the areas of Natural Language Processing, Deep Learning, Risk Modeling and Operational Analytics. 

RESPONSIBILITIES WE LOOK FOR INCLUDE:

  • Define, models and solve real world, ambitious, insurance problems using various data-driven approaches.
  • A passion for Designing, building, and testing models and deploying them into production.
  • Design and implement tools and frameworks to be used across various machine learning and data science teams.
  • A strong desire to help build the next generation Machine Learning platform that will be used by internal and external Guidewire customers.
  • Identify areas where we can apply Machine Learning at Guidewire and work with product managers and domain specialists to produce and end to end solution.
  • Work in a fast-paced Agile/Scrum environment to help us deliver high quality software.

SUCCESSFUL ML ENGINEERS AT GUIDEWIRE TYPICALLY HAVE:

  • Advanced Degree in Computer Science, Engineering, Mathematics or a related field.
  • Over 2 years of validated Industry experience in a data science or ML engineering role or Software Engineering with a data centric approach.
  • Solid understanding of ML techniques (parametric and non-parametric models, clustering, anomaly detection, evaluation metrics, interpretability methods).
  • Validated statistics and modeling knowledge.
  • Experiment/implementation such as SQL, Python or R and frameworks like PyTorch or TensorFlow.
  • Curiosity and internal motivation to constantly improve
  • Experience with Amazon AWS services such as EC2, EMR, S3, SageMaker.
  • Experience building and productionizing end-to-end machine learning pipelines.

PREFERRED

  • Huge plus if you have experience working with big data tools & orchestration tools such as Spark, Airflow and K8
  • Strong knowledge of groundbreaking NLP models like LSTMs and Transformers 
  • Experience with Infrastructure as Code is a huge plus
  • Highly motivated to learn more about Cyber Security and the P&C insurance industry
#LI remote#machinelearning #aws #sagemaker #propertyandcasualty #datamodeling #pytorch #tensorflow #python #sql #cyber #guidewire
About Guidewire
Guidewire is the platform P&C insurers trust to engage, innovate, and grow efficiently.
Guidewire combines core, data, digital, analytics, and AI to deliver our platform as a cloud service. More than 400 insurers, including the largest and most complex in the world, run on Guidewire.
As a partner to our customers, we continually evolve to enable their success. We are proud of our unparalleled implementation track record with 1000+ successful projects, supported by the largest R&D team and partner ecosystem in the industry. Our Marketplace provides hundreds of add-ons that accelerate integration, localization, and innovation.
Guidewire Software Inc. provides equal employment opportunities to all applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.

* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

Tags: Agile Airflow AWS Big Data Computer Science Deep Learning EC2 Engineering Machine Learning Mathematics NLP Pipelines Python PyTorch R R&D SageMaker Scrum Security Spark SQL Statistics TensorFlow Testing Transformers

Perks/benefits: Career development Insurance

Regions: Remote/Anywhere North America
Country: Canada
Job stats:  9  2  0

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