Staff Software Engineer – MLOps

National Council of Training Academy (NCTA); Bengaluru; Vor Ort; INR 3.500.000 - 5.500.000; Vollzeit

Zusammenfassung

Toast in Bengaluru is seeking an experienced Staff Software Engineer – MLOps to design, deploy, and maintain scalable ML pipelines and production ML systems.

You will collaborate with data engineers and cross-functional teams to ensure reliable data flow, high data quality, and strong model performance, while advancing testing, validation, and engineering standards in a fast-paced environment.

Qualifikationen

• Strong programming skills in Python, Java, or C++.
• Experience with MLOps tools and technologies.
• Solid understanding of data structures, algorithms, and core CS.
• Experience with data pipelines and automated testing.
• Excellent problem-solving and communication skills.

Aufgaben

• Design and implement scalable ML pipelines.
• Integrate ML models into production systems.
• Develop large-scale data architectures.
• Implement automated testing and validation frameworks.
• Collaborate with data engineers and cross-functional teams.

Kenntnisse

Python

Java

C++

MLOps tools

Data pipelines

Problem solving

Communication

Ausbildung

Graduate or postgraduate degree

Tools

MLOps platforms

CI/CD

Data processing frameworks

Jobbeschreibung

Toast is hiring a Staff Software Engineer (MLOps) in Bengaluru to design and deploy scalable machine learning pipelines, integrate ML models into production systems, and support large-scale data architectures.

Full Job Details:

Toast is seeking an experienced Staff Software Engineer – MLOps to join its Engineering – Software & QA team in Bengaluru. This is a full-time, permanent role focused on building, deploying, and maintaining scalable machine learning and data pipeline infrastructure.

The role involves designing robust MLOps pipelines, integrating machine learning models into production systems, and developing large-scale data architectures to support reliable model deployment. The engineer will collaborate closely with data engineers and cross-functional teams to ensure seamless data flow, high data quality, and optimal model performance.

Key responsibilities include implementing automated testing and validation frameworks, troubleshooting complex issues related to model performance, and maintaining high engineering standards in fast-paced environments.

• Strong programming skills in Python, Java, or C++
• Experience with MLOps tools and technologies
• Solid understanding of data structures, algorithms, and core computer science
• Experience with data pipelines, automated testing, and machine learning systems
• Excellent problem-solving, collaboration, and communication skills

Candidates must hold a graduate or postgraduate degree in any discipline and be comfortable working with both technical and non-technical stakeholders.