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Cloud Software Engineer

2 months ago

Dearborn, Michigan, United States V2soft Full time
About V2Soft

V2Soft is a global technology solutions company that provides high-performance solutions to solve real business problems. Our mission is to become our customers' trusted partners, enabling mutual success.

We are committed to promoting diversity in the workplace, which has a positive impact on our company and the customers we serve.

About the Role

We believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams.

Our Global Data Insight & Analytics organization is seeking a Cloud Solutions Developer to build and drive the strategy forward for our internal Data Science / AI/ML platform.

  • Collaborate directly and continuously with other engineers, business partners, product managers, and designers.
  • Release early and often, working in a small, cross-functional team.
  • Focus on building a cloud-based AI/ML enablement platform to democratize Machine Learning across our enterprise.
Key Responsibilities
  • Work closely with Tech Anchors, Product Managers, and Product Owners to deliver a Machine Learning Operations (MLOPs) platform in Google Cloud Platform (GCP) using Python and other tools for data scientists across the company.
  • Collaborate with software and ML engineers/Data Scientists to tackle challenging AIOps problems.
  • Maintain and manage current Continuous Integration/Continuous Deployment (CI/CD) ecosystem and tools.
  • Find ways to automate and continually improve current CI/CD processes and release processes.
  • Examine, inspect codes/scripts, and resolve issues.
  • Help innovate and standardize machine learning development practices.
  • Experiment, innovate, and share knowledge with the team.
  • Lead by example in the use of Paired Programming for cross-training/upskilling, problem-solving, and speed to delivery.
  • Leverage the latest ML/NLP/GCP/AIOPs/Kubernetes technologies.
Requirements
  • Bachelor's degree in Computer Science/Computer Engineering or a similar technical discipline.
  • 2+ years of experience with Cloud Engineering/Services.
  • 3+ years of work experience as a backend software engineer in Python with exceptional software engineering knowledge.
  • Experience with ML workflow orchestration tools: Airflow, Kubeflow, etc.
  • Advanced working knowledge of object-oriented/object function programming languages: Python, C/C++, Julia.
Preferred Skills
  • Master's degree in Computer Science/Machine Learning or a related field.
  • Experience working with Google Cloud Platform (GCP) specifically Google Kubernetes Engine, Terraform, and infrastructure.
  • Experience in delivering cloud engineering products.
  • Experience in programming concepts.