Posted:16 hours ago|
Platform:
On-site
Full Time
1. Design and implement cloud solutions, build MLOps on Azure cloud
2. Build CI/CD pipelines and Automation using Github CI, GitHub Actions or similar tools
3. Experience in development of scalable tools for model training and model interference
4. Model: Refactoring and optimization, containerization, deployment, versioning, and monitoring
5. Model testing, validation, and tests automation
6. Worked on Azure cloud for Data Engineering [Data Preprocessing, Data cleaning, Data transformation, Data Injection] and Pipeline
7. Experience in creating visualization for Data and model metrics in cloud environments and linked with CI/CD/CT
1. Develop machine learning models and AI solutions (Preferred: experience in IN CABIN monitoring function]
2. Experience in Model optimization, Quantization for deploying cloud model in Edge Devices. 3. Experience with QNN APIs
3. Proficiency in Machine Learning Frameworks: Familiarity with frameworks such as TensorFlow, PyTorch, and ONNX
4. Proficiency in programming languages such as Python, C++
5. 8. Work experience in Bazel scripts
6. Work experience in Linux development environment
Embitel Technologies
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