DevOps Engineer, MLOps - Hyderabad @ EPIQ Systems

Job Description

Summary

We are seeking a highly skilled DevOps Engineer with good knowledge of ML-Ops for designing, implementing, and maintaining the infrastructure for our company's software development and machine learning operations.

As a DevOps Engineer, you will work closely with software developers, data scientists, and other stakeholders to ensure that the software development and machine learning processes are efficient, secure, and scalable. You will also be responsible for automating the software development and machine learning workflows to enable faster and more frequent releases.

Job Responsibilities:

• Design, implement, and maintain the infrastructure for software development and machine learning operations.
• Collaborate with software developers, data scientists, and other stakeholders to ensure efficient, secure, and scalable software development and machine learning workflows.
• Automate the software development and machine learning workflows using DevOps and ML Ops tools and frameworks.
• Monitor and optimize the software development and machine learning workflows to ensure their efficiency and accuracy.
• Develop and maintain the tools and frameworks necessary for DevOps and ML Ops
• Ensure the security and privacy of the software development and machine learning workflows and data.
• Troubleshoot and resolve issues related to the infrastructure and workflows. Conduct root cause analysis, and implement fixes by creating needed artifacts and/or checks & balances in the workflows
• Stay up to date with the latest advancements in DevOps and ML Ops and recommend new tools and techniques to improve our operations.

Requirements / Skills :

• Bachelors / masters degree in information or computer science required B.Tech, MCA, MS Computers.
• 3+ years of experience in DevOps and ML Ops or related field
• Strong programming skills in Python, Java, or other programming languages
• Experience with DevOps tools such as Jenkins, GitLab, or CircleCI
• Experience with cloud-based infrastructure such as AWS, and Microsoft Azure
• Familiarity with ML frameworks such as TensorFlow, PyTorch, or scikit-learn
• Strong analytical and problem-solving skills
• All-round communication skills and ability to work collaboratively.

Job Classification

Education

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