ML DevOps Engineer

Job Summary

Location: Noida

As an ML DevOps Engineer at Alpheric, you will be responsible for building, deploying and maintaining scalable machine learning pipelines and infrastructure. You will work closely with data scientists, ML engineers and backend teams to ensure seamless integration of machine learning models into production environments.

Your day-to-day responsibilities will include automating ML workflows, managing model deployments, monitoring performance and ensuring system reliability and security. With a strong understanding of cloud infrastructure, DevOps practices and machine learning lifecycle management you will play a critical role in accelerating model delivery and operational excellence.

Responsibilities

• Building, deploying and maintaining scalable machine learning pipelines and infrastructure.
• Working closely with data scientists, ML engineers and backend teams to ensure seamless integration of machine learning models into production environments.
• Automating ML workflows.
• Managing model deployments.
• Monitoring performance.
• Ensuring system reliability and security.
• With a strong understanding of cloud infrastructure, DevOps practices and machine learning lifecycle management you will play a critical role in accelerating model delivery and operational excellence.

Requirements

• Bachelor's or Master's degree in Computer Science Engineering, Data Science or a related field
• 3-6 years of experience in ML DevOps or platform engineering roles
• Strong experience with machine learning model deployment and lifecycle management
• Proficiency with cloud platforms such as AWS, Azure or GCP
• Experience with containerization and orchestration tools such as Docker and Kubernetes
• Familiarity with CI/CD pipelines, automation and infrastructure as code
• Experience working with ML frameworks such as TensorFlow, PyTorch or similar
• Understanding of monitoring, logging and model performance tracking
• Strong problem-solving skills and ability to work in cross-functional teams

Disclaimer: This job posting has been aggregated from external source. Role details, content, and availability are subject to change. Applicants are advised to confirm the latest information directly on the company website before applying.