Ml Operations Engineer Job in Uniphore
Ml Operations Engineer
Uniphore
4+ weeks ago
- Bengaluru, Bangalore Urban, Karnataka
- Not Disclosed
- Full-time
- Permanent
Job Summary
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job Responsibilities :
- Design, Develop and maintain the Data science platform and programming framework to enable consistent, reliable, and consumable data science services
- Test, deploy, maintain, and improve ML models/infrastructure and software that uses these models
- Collaborate with the data engineers and data scientists on feature development to containerise and build out the deployment pipelines for new modules
- Identify and evaluate new patterns and technologies to improve the performance, maintainability, and elegance of our machine learning systems
- Create and work with docker files, images, and containers to test and deploys data science
Requirements:
- 3+ years experience working with ML teams to deliver AI models to production
- Experience working with deep learning frameworks (such as TensorFlow, Keras, Torch, Caffe, Theano)
- Working experience with any of MLOps platforms like KubeFlow/MLFlow/Dataiku/H20/Seldon/SageMaker.
- Solid experience with python tools for data-science.
- Ability to develop and implement sample ML/DL algorithms
- Experience with container technologies like Kubernetes/Docker/AKS/EKS/OpenShift and ecosystem of cloud native solutions.
- Prior experience developing features for Data Science validation and testing to track model performance, API response time, and test coverage metrics
- Design software architecture and data flow for scalable machine learning development work
- Understanding of REST APIs for invoking, integrating, and orchestrating.
- Excellent oral and written communication skills.
- Comfortable working with remote teams
All applicants - to review our privacy notice, please click hereApply for this job
Experience Required :
Minimum 3 Years
Vacancy :
2 - 4 Hires
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