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Site Reliability Engineer - DevOps

Site Reliability Engineer - DevOps

Qualys

0 - 4 years

0 Lacs

pune maharashtra

Posted:3 days ago| Platform: Shine logo

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Skills Required

python machine learning aws gcp azure docker kubernetes devops ml libraries

Work Mode

On-site

Job Type

Full Time

Job Description

Job Description: Come work at a place where innovation and teamwork come together to support the most exciting missions in the world! We are looking for a motivated and detail-oriented Entry-Level MLOps Engineer to support our machine learning lifecycle and deployment infrastructure. You will work closely with data scientists, ML engineers, and DevOps teams to streamline model deployment, automate workflows, and ensure scalable and reliable ML systems. As an Entry-Level MLOps Engineer, your key responsibilities will include assisting in deploying, monitoring, and maintaining machine learning models in production. You will also help build and automate ML pipelines for data ingestion, training, validation, and deployment. Collaborating with cross-functional teams to integrate ML models with applications and services will be an essential part of your role. Monitoring model performance, implementing alerts, logging, and automated retraining if needed, are crucial tasks you will undertake. Additionally, supporting versioning and lifecycle management of datasets and models using tools like MLflow or DVC, contributing to CI/CD pipelines tailored for ML systems, and documenting workflows, configurations, and deployment practices are all integral components of your responsibilities. To qualify for this position, you should hold a Bachelor's degree in Computer Science, Data Science, Engineering, or a related field. An understanding of machine learning concepts and the model lifecycle is necessary. Basic knowledge of Python and ML libraries such as scikit-learn, TensorFlow, or PyTorch is essential. Familiarity with cloud platforms like AWS, GCP, or Azure is a plus. Exposure to containerization tools like Docker and orchestration tools like Kubernetes would be advantageous. An interest in DevOps principles and automation is highly desired for this role.,

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Site Reliability Engineer - DevOps