ML Ops Engineer
DeltaSync · Canada
- Type: contract
- Location: region — Southeast Asia
- Compensation: BRL 75249–148899
- Timezone: UTC+5:30
About the role
About the Role
We are looking for a talented ML Ops Engineer.
Requirements
- Product Management - Kubernetes - PyTorch - 7+ years experience - Remote-first mindset
Benefits
- Competitive salary - Flexible hours - Remote culture - Dev budget - Health insurance
What You Will Do You will be instrumental in bridging the gap between cutting-edge machine learning research and production-ready applications. Your daily responsibilities will include designing, implementing, and maintaining robust MLOps pipelines using Kubernetes to ensure scalability and reliability of our PyTorch-based models. Furthermore, you will collaborate closely with product management teams to understand model requirements and translate them into actionable engineering tasks, ensuring our ML solutions deliver tangible business value.
Why Join Us Become part of an innovative and collaborative remote team that is at the forefront of machine learning deployment. We foster a culture of continuous learning and provide ample opportunities for professional growth. You’ll have the chance to work on challenging projects that directly impact our product roadmap, leveraging your expertise in a dynamic and supportive environment.
Who You Are You are a proactive and detail-oriented individual with a passion for making machine learning models operational. Your strong understanding of MLOps principles, coupled with hands-on experience in Kubernetes and PyTorch, makes you an ideal candidate. You possess excellent communication skills, allowing you to effectively interface with product management and articulate technical concepts clearly.
Required skills
- Product Management
- Kubernetes
- PyTorch
About DeltaSync
Leading provider of cloud infrastructure solutions.