We are currently seeking an experienced Senior Google Cloud ML/Data Engineer to join our dynamic team. The ideal candidate will have hands-on experience in implementing machine learning solutions and data engineering pipelines using Google Cloud technologies. If you have a passion for data-driven innovation and want to make an impact in cloud-based ML projects, we’d love to hear from you!
Key Responsibilities:
- Design, implement, and manage ML pipelines and data processing solutions on Google Cloud.
- Collaborate with cross-functional teams in an Agile environment to deploy scalable machine learning models using Vertex AI (pipelines, models & endpoints, feature store).
- Develop and maintain CI/CD pipelines with Azure DevOps.
- Use Terraform for infrastructure automation to ensure smooth deployment and operation of cloud services.
- Leverage Python for ML model development and implementation.
- Contribute to ML strategy and provide expertise for integrating machine learning capabilities into the organization.
Must-Have Qualifications:
- Google Cloud certifications: Professional Data Engineer and/or Professional Machine Learning Engineer.
- Proven experience in Python programming, with a focus on machine learning and data engineering.
- Strong understanding of Vertex AI, CI/CD pipelines (Azure DevOps), and Terraform.
- Excellent communication and collaboration skills, with experience working in Agile teams.
Nice to Have:
- Experience with Dataflow, BigQuery, and Composer in Google Cloud.
- If you are passionate about transforming business through advanced data and machine learning solutions and looking to work with a forward-thinking team, apply now!
