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Looking for a Cloud Engineer with strong Phyton experience with DevOps skills, ML exposure and Cloud experience Position Responsibilities
- Work closely with Tech Anchor, Product Manager and Product Owner to deliver Machine learning Platform and tools for the data scientists across the company.
- Work with software and ML engineers to tackle challenging AIOps problems.
- Work specifically on the model team to help build tools/ML Pipeline and systems using Python that make data scientists happier and more productive
- Help innovate standardize machine learning development practices.
- Experiment, innovate and share knowledge with the team.
- Act as a consultant to the business vs. an order taker.
- Lead by example in use of Paired Programming for cross training/upskilling, problem solving, and speed to delivery.
- Leverage latest of Google Cloud and Kubernetes technologies
- A Bachelor's degree in Computer Science / Computer Engineering or similar technical discipline.
- 2+ years of experience with Cloud Engineering / Services
- 2+ years of work experience as a software engineer with exceptional software engineering knowledge.
- Advanced working knowledge of object-oriented/object function programming languages: Python, C/C, Julia
- Experience with data pipeline and workflow management tools: Airflow, Kubeflow etc.
- Experience with cloud services, preferably Google Cloud Platform Services like Vertex AI, Cloud Function etc.
- Experience in container management solution: Kubernetes, Docker
- Experience in scripting language: Bash, PowerShell etc.
- Experience in DevOps: Jenkins/Tekton etc.
- Experience with Infrastructure as code: Terraform etc
- Experience working with Google Cloud platform specifically Google Kubernetes engine, Terraform, and infrastructure
- Experience in delivering cloud engineering product
- Experience in programming concepts such as Paired Programming, Test Driven Development, etc.
- Experience in supporting continuous improvement by investigating development alternatives.
- Understanding of common machine learning frameworks: sklearn, tensorflow, pytorch etc. is a big plus
- Experience applying agile practices to solution delivery.
- Experience in all phases of the development lifecycle.
- Master focused in Computer Science / Machine Learning (highly preferred).
- Must be team-oriented and have excellent oral and written communication skills.
- Good organizational and time-management skills.
- Must be a self-starter to understand existing bottlenecks and come up with innovative solutions.
- Open to learning new technology.
- Knowledge of coding and software craftsmanship practices.