MLOPS

imary responsibilities:

Design, build, and maintain scalable and reliable ML infrastructure.

Develop and implement CI/CD pipelines for ML models.

Collaborate with data scientists and software engineers to deploy and monitor ML models in

production.

Ensure the availability, performance, and scalability of ML platforms.

Automate the deployment and management of ML models and data pipelines.

Monitor and troubleshoot ML infrastructure and resolve issues.

Implement security best practices to protect data and models.

Document processes, configurations, and best practices for future reference.

Required Skills:

Strong problem-solving and analytical skills.

Excellent attention to detail and accuracy.

Effective communication and teamwork abilities.

Ability to manage multiple tasks and meet deadlines.

Eagerness to learn and adapt to new technologies and methodologies.

Tools/Training:

Proficiency in Microsoft Excel and Linux.

Familiarity with tools such as AWS Azure, CICD on Cloud Native.

Basic understanding of Linux.

Understanding of Data Science, Machine Learning and Generative AI in Python.

Education & Certification:

Bachelor’s degree in engineering (BE/BTech) in Computer Science, Information Technology, Data

Science, or a related field.

Certifications on AWS Certified Cloud Practitioner/Microsoft Certified: Azure Fundamentals/Google

Cloud Foundational Certificate,

DevOps and CICD on Cloud Native Systems,

Linux Essentials - Fundamental understanding of Linux operating syste