ML Engineer/MLE, Predictive Analytics US remote option
United States - Remote
Applications have closed
Guidewire Software
Elevate your P&C insurance with Guidewire's industry-leading software! Streamline workflows, enhance customer experience, and drive growth. Learn more today!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 multiple 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.
- 3+ years of validated experience in a data science or ML engineering role.
- Solid understanding of ML techniques (parametric and non-parametric models, clustering, anomaly detection, evaluation metrics, interpretability methods).
- Statistics and modeling expertise.
- Experience with languages used for Machine Learning experiment/implementation such as Python and frameworks like PyTorch and TensorFlow.
- Excellent coding skills, typically in Python.
- 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 skills:
- Experience working with big data tools such as Hadoop, Spark, Kafka.
About GuidewireGuidewire 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. is proud to be an equal opportunity and affirmative action employer. We are committed to an inclusive workplace, and believe that a diversity of perspectives, abilities, and cultures is a key to our success. Qualified applicants will receive consideration without regard to race, color, ancestry, religion, sex, national origin, citizenship, marital status, age, sexual orientation, gender identity, gender expression, veteran status, or disability. All offers are contingent upon passing a criminal history and other background checks where it's applicable to the position.
Disability Accommodations and Guidewire’s Appeals Process. Guidewire provides accommodations to the hiring process to create a fair opportunity for candidates with disabilities to contend for open positions. Accommodation requests should be directed to (650) 356-4940 or Accommodations@guidewire.com. If things do not go as hoped, we invite you to use our appeals process. Guidewire promises to independently review any denied accommodation and any decision not to offer you the position. The appeals process is the same in either case. Within five business days of receiving a notice of denial of an accommodation, or receiving a notice of your non-selection for a vacancy, call (650) 356-4940 or e-mail Accommodations@guidewire.com to make an appeal. Guidewire will assign a new decision-maker to review the request and/or hiring decision, who will then notify you in writing of a decision within 10 business days.
Tags: Agile AWS Big Data Computer Science Deep Learning EC2 Engineering Hadoop Kafka Machine Learning Mathematics NLP Pipelines Python PyTorch R R&D SageMaker Scrum Spark Statistics TensorFlow Testing
Perks/benefits: Career development Insurance
More jobs like this
Explore more AI, ML, Data Science career opportunities
Find even more open roles in Artificial Intelligence (AI), Machine Learning (ML), Natural Language Processing (NLP), Computer Vision (CV), Data Engineering, Data Analytics, Big Data, and Data Science in general - ordered by popularity of job title or skills, toolset and products used - below.
- Open Marketing Data Analyst jobs
- Open MLOps Engineer jobs
- Open Junior Data Scientist jobs
- Open AI Engineer jobs
- Open Data Engineer II jobs
- Open Senior Data Architect jobs
- Open Sr Data Engineer jobs
- Open Senior Business Intelligence Analyst jobs
- Open Data Analytics Engineer jobs
- Open Power BI Developer jobs
- Open Manager, Data Engineering jobs
- Open Product Data Analyst jobs
- Open Principal Data Engineer jobs
- Open Business Data Analyst jobs
- Open Data Quality Analyst jobs
- Open Data Manager jobs
- Open Sr. Data Scientist jobs
- Open Data Scientist II jobs
- Open Big Data Engineer jobs
- Open Business Intelligence Developer jobs
- Open Data Analyst Intern jobs
- Open Principal Data Scientist jobs
- Open ETL Developer jobs
- Open Azure Data Engineer jobs
- Open Data Product Manager jobs
- Open Business Intelligence-related jobs
- Open Data quality-related jobs
- Open Privacy-related jobs
- Open Data management-related jobs
- Open GCP-related jobs
- Open Java-related jobs
- Open ML models-related jobs
- Open Finance-related jobs
- Open Data visualization-related jobs
- Open Deep Learning-related jobs
- Open APIs-related jobs
- Open PyTorch-related jobs
- Open PhD-related jobs
- Open Consulting-related jobs
- Open TensorFlow-related jobs
- Open Snowflake-related jobs
- Open NLP-related jobs
- Open Data governance-related jobs
- Open Data warehouse-related jobs
- Open Airflow-related jobs
- Open Hadoop-related jobs
- Open Databricks-related jobs
- Open LLMs-related jobs
- Open DevOps-related jobs
- Open Kubernetes-related jobs