Engage, Innovate, Grow Efficiently

Machine Learning Engineer – III

Machine Learning EngineerMachine Learning EngineerFull TimeRemoteTeam 1,001-5,000Since 2001H1B SponsorCompany Site LinkedIn

Location

California

Posted

103 days ago

Salary

$128K - $192K / year

Bachelor Degree3 yrs expEnglishAWSCloudDockerEC2GuidewireKubernetesOpen SourcePython

Job Description

• Be part of a cross-functional team implementing Machine Learning (ML) solutions for some of the most critical business needs in the insurance industry. • You will be a primary stakeholder and key developer for the complete end-to-end ML Ops lifecycle at Guidewire. • Design, test and build infrastructure for Guidewire AI and ML models. • Creating data solutions, developing automated systems, and deploying AI and ML models. • Guidewire’s ML Engineering team is the center of excellence for machine learning and AI.

Job Requirements

3+ years of professional experience working in Machine Learning and Data Science.
Bachelor’s or Master’s Degree in Computer Science, or equivalent level of demonstrable professional competency.
Knowledge of ML Ops good practices for model development, deployment and monitoring.
Expert in Python programming language.
A strong understanding of AWS cloud technologies such as S3, EC2, RDS, etc.
Experience developing model pipelines using AWS Sagemaker.
Experience using Docker or Kubernetes to deploy containerized applications.
Proficiency in building ML Infrastructure with IaC tools to support large ML workloads.
Experience using statistical learning algorithms such as GLM, XGBoost, and Random Forest to solve real world business problems.
Deep understanding of statistical learning methods and how to evaluate models for performance in a production setting.
Familiarity with the setup and use of various open source LLM foundation models.
Prompt engineering and fine tuning concepts for LLM performance.