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Wipro Limited

3 - 7 years

0 Lacs

karnataka

Posted:4 days ago| Platform: Shine logo

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Skills Required

programming databases testing git version control flask docker kubernetes airflow kafka rabbitmq poc apis machine learning algorithms frameworks domain knowledge querying fastapi mlflow automating data pipelines best practices model operations foundation models llms langchain

Work Mode

On-site

Job Type

Full Time

Job Description

As an Automation Engineer specializing in AI/ML model deployment, your primary responsibility will be to automate the deployment of AI/ML models and set up monitoring for the ML pipeline. This involves automating CI/CD pipelines to accommodate data, code, and model changes efficiently. You should have a strong programming background with a good understanding of machine learning algorithms, frameworks, and domain-specific knowledge. Your role will also entail querying and working with databases, testing ML models, and utilizing Git for version control. Familiarity with frameworks like Flask, FastAPI, Docker, Kubernetes, and experiment tracking tools such as MLflow are essential for this position. Additionally, you will be responsible for setting up and automating data pipelines using tools like Airflow, Kafka, and Rabbitmq. You will be expected to provide best practices and conduct proof of concepts (POCs) to streamline and automate model operations at scale. While not mandatory, it would be advantageous to have hands-on experience with large foundation models (e.g., LLMs) and associated toolchains (e.g., langchain) and APIs for developing applications, tools, and workflows for production environments. Overall, your role as an Automation Engineer will involve leveraging your technical expertise to automate AI/ML model deployment processes, optimize model operations, and ensure efficient monitoring of the ML pipeline.,

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