Valiance Solutions
4 weeks ago
About Us :
Valiance is a global AI & Data analytics firm helping clients build cutting-edge technology solutions for digital transformation. We work with some of the marquee brands across India, US and APAC to build transformative solutions for Credit Risk, Fraud, Predictive Maintenance, Quality Inspection, Data lake, IOT analytics etc. Our team comprises 100+ professionals across Machine Learning, Data Engineering & Cloud expertise
Responsibilities :
- Design and implement cloud solutions, and build MLOps on the cloud (AWS, Azure, or GCP).
- Build CI/CD pipelines orchestration by Jenkins, GitHub Actions, Circle CI, Airflow, or similar tools.
- Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality.
Requirements :
- 2 or more years of experience in a docker container and Kubernetes.
- Experience with MLOps Frameworks like Kubeflow, MLFlow, DataRobot, Airflow, etc.
- Programming languages like Python or Bash, a good understanding of Linux, and knowledge of frameworks such as sci-kit-learn, Keras, PyTorch, Tensorflow, etc.
- Ability to understand tools used by data scientists and experience with software development and test automation.
- Ability to understand tools used by data scientists and experience with software development and test automation.
- Maps and model deployment.
- Experience with Python and Bash.
- MLOps, Jenkins, Terraform, Docker, Kubernetes.
- Any Cloud Platform.
- Python/Bash.
- Minimum 6-8 years of relevant experience.
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