Machine Learning Ops Engineer
- Proactive approach with team members and clients
- Continuous improvement of ML infrastructure and operations
- Take ownership of the deployment and monitoring pipelines within your expertise
- Contribute to the ongoing innovation R&D projects by enabling production readiness
- Maintain and implement CI/CD pipelines, observability, and infrastructure for ML services
- Degree in relevant field with 3+ years of industry experience
- Strong Technical Skills: Python, AWS, Docker, Terraform
- Experience deploying and maintaining machine learning models in production environments
- Familiarity with MLOps best practices: versioning, monitoring, model registries, CI/CD
- Excellent organisation skills, working independently and ability to deliver results for deadlines
- A proactive, innovative, pragmatic approach to problem-solving and an ability to think critically and objectively
- Good customer-facing skills and ability to communicate technical concepts to technical and non-technical audiences
- Experience in E-Commerce space
- Competitive Salary
- Generous vacation time (25 days)
- Yearly "DG Recharge Week" in addition to annual leave allowance
- Freedom to experiment with your own ideas
- Environment to develop your skills without bureaucracy or red tape
- Monthly fitness stipend of $210 or fully paid Third Space Membership.
- On going subscription to Mental Health Support Platform
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