ML DevOps Engineer

Location

Noida

Employment Type

Full-time

Location Type

On-Site

Department

Technology

Compensation

Not specified

Location: Noida
Experience: Not specified

SDE

Alpheric is a centre of excellence in Business and Technology Consulting, helping organizations build and scale Digital Solutions that drive growth and efficiency. We specialize in Custom Software Development, Web and Mobile Applications, Cloud Solutions and Data-Driven Platforms, while also supporting Digital Marketing Initiatives that strengthen online presence and business performance.  

By combining Strong Technical Expertise with Strategic Insight, we deliver reliable scalable solutions that enable our clients to innovate faster streamline operations and remain competitive in an ever-evolving digital landscape.

About the Role

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.

Who You Are

• 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

Why Join Alpheric?

• Competitive compensation and growth

• Innovative, real-world projects

• Collaborative, forward-thinking culture

• Continuous learning and impact