DescriptionJob Description:Work closely with Tech Anchor, Product Manager and Product Owner to deliver machine learning use cases using Agile Methodology.Work with other Software and ML Engineers to tackle challenging AI problems.Participate in Pair Programming for cross training/upskilling, problem solving, and speed to delivery.Leverage latest ML and GCP technologies.Work with Architects to make technical decision on tools, integration, and other issues.Drive PoCs/Discoveries of new tools and technologies to support robust ML PlatformCollaborate with other software engineers to understand platform vision, break out tasks and help them solve complex issues.Grow technical capabilities / expertise and provide guidance to other software engineers on the team.Requirement:Experience working with Google Cloud platformExperience in delivering machine learning software products using iterative approach.Experience in Software Craftsmanship such as Paired Programming, Test Driven Development, DevOps etc.Experience in supporting continuous improvement by investigating development alternatives.Experience using Machine Learning tools (pytorch, tensorflow, xgboost etc).Experience applying Agile practices to solution delivery.Experience in all phases of the development lifecycle.Must be team-oriented and have excellent communication and presentation skills.Knowledge of coding and best practices.Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline.1+ years of experience with Machine Learning Technologies.2+ years of work experience as a software engineer with exceptional software engineering knowledge.Experience and good understanding of Machine Learning / Python / Java / Google Cloud / DevOps / CICDUnderstanding or desire to learn end to end Machine Learning technology stack (Tools such as Domino Data Labs, Kubeflow, Kubernetes, Seldon Core, GCP, Jupyter Notebook, HPC, Hive, Hadoop, etc).Good understanding of cloud design considerations and limitations and impact of pricing.Prior experience working: container technology, docker files, docker images, GitHub, CI/CD concepts.Interested candidates can send their updated resumes at jobs@global-itech.com