Job Title: ML Engineer Job Location: Remote Job Type: Contract

• 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 Platform
• Collaborate 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 platform
• Experience 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 / CICD
• Understanding 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.