Job Title: ML Engineer Job Location: Remote Job Type: Contract
1 week ago
- 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.
Interested candidates can send their updated resumes at jobs@global-itech.com
Job Posted by ApplicantPro
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