Posted:9 hours ago|
Platform:
On-site
Contractual
Minimum of 5-7 years of experience in ML engineering with large-scale production systems.
· Strong experience with Azure cloud computing and containerization technologies (like Docker, Kubernetes).
· Experience in API creation and deployments (for ex. Fast API, flask etc.)
· Experience with Python/OOPs programming languages and data science frameworks like (Pandas, Numpy, TensorFlow, Keras, PyTorch, sklearn).
· Knowledge of DevOps tools such as Git, Jenkins, Sonar, Nexus is must.
· Building python wheels and debugging build process.
· Data pipeline building and debugging (by creating and following log traces).
· Basic knowledge of DevOps practices.
· Concepts of Unit Testing and Test-Driven development.
· Experience with Databricks and its ecosystem is highly preferred
TESTQ Technologies
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