V2soft
Cloud Software Engineer
V2soft, Dearborn, Michigan, United States, 48120
V2Soft ([ www.v2soft.com**) is a global company, headquartered out of Bloomfield Hills, Michigan, with locations in Mexico, Italy, India, China and Germany. At V2Soft, our mission is to provide high performance technology solutions to solve real business problems. We become our customer's true partner, enabling both parties to enjoy success. We are committed to promoting diversity in the workplace, and believe it has a positive effect on our company and the customers we serve.
Description:
We believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation. Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform. This role will work in a small, cross-functional team. The position will collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often. The team you will be working on is focused on building Mach1ML platform -- an AI/ML enablement platform to democratize Machine Learning across Client enterprise (similar to Uber's Michelangelo, Facebook's FBLearner, etc).
Position Responsibilities: **](http://www.v2soft.com)
Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform in GCP using Python and other tools for the data scientists across the company. Work with software and ML engineers/Data Scientist to tackle challenging AIOps problems. Maintain and mange current 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 standardize machine learning development practices. Experiment, innovate and share knowledge with the team. Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery. Leverage latest ML/NLP/ GCP/AIOPs/Kubernetes technologies
Skills Required:
A Bachelor's degree in Computer Science / Computer Engineering or 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 Experience in DevOps: Jenkins/Tekton etc. Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc. Experience in container management solution: Kubernetes, Docker Experience in scripting language: Bash, PowerShell etc. Experience with Infrastructure as code: Terraform etc.
Skills Preferred:
Master focused in Computer Science / Machine Learning or related field
Experience working with Google Cloud platform(GCP) -- specifically Google Kubernetes engine, Terraform, and infrastructure
Experience in delivering cloud engineering product
Experience in programming concep
Description:
We believe freedom of movement drives human progress. We also believe in providing you with the freedom to define and realize your dreams. With our incredible plans for the future of mobility, we have a wide variety of opportunities for you to accelerate your career potential as you help us define tomorrow's transportation. Global Data Insight & Analytics organization is looking for a Machine Learning Engineer focused on building and driving the strategy forward for our internal Data Science / AI/ML platform. This role will work in a small, cross-functional team. The position will collaborate directly and continuously with other engineers, business partners, product managers and designers, and will release early and often. The team you will be working on is focused on building Mach1ML platform -- an AI/ML enablement platform to democratize Machine Learning across Client enterprise (similar to Uber's Michelangelo, Facebook's FBLearner, etc).
Position Responsibilities: **](http://www.v2soft.com)
Work closely with Tech Anchor, Product Manager and Product Owner to deliver MLOPs platform in GCP using Python and other tools for the data scientists across the company. Work with software and ML engineers/Data Scientist to tackle challenging AIOps problems. Maintain and mange current 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 standardize machine learning development practices. Experiment, innovate and share knowledge with the team. Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery. Leverage latest ML/NLP/ GCP/AIOPs/Kubernetes technologies
Skills Required:
A Bachelor's degree in Computer Science / Computer Engineering or 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 Experience in DevOps: Jenkins/Tekton etc. Experience with cloud services, preferably GCP Services like Vertex AI, Cloud Function, BigQuery etc. Experience in container management solution: Kubernetes, Docker Experience in scripting language: Bash, PowerShell etc. Experience with Infrastructure as code: Terraform etc.
Skills Preferred:
Master focused in Computer Science / Machine Learning or related field
Experience working with Google Cloud platform(GCP) -- specifically Google Kubernetes engine, Terraform, and infrastructure
Experience in delivering cloud engineering product
Experience in programming concep