MLOps Engineer

Revrr Technologies pvt ltd; Hyderabad; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Revrr Technologies pvt ltd in India is seeking an experienced Senior Software Engineer with a focus on ML model productionalization and MLOps. You will manage data pipelines, onboard new ML models, and improve CI/CD for data and model workflows.

The role requires 5+ years of software engineering experience, proficiency with Spark and ML frameworks, and a strong capability to work both independently and within a distributed global team. On-site Hyderabad is expected for this position.

Qualifications

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Minimum 5+ years of experience in software engineering with a focus on full-stack development and infrastructure.
• Hands-on experience in ML model productionalization and operationalisation.
• Familiarity with ML frameworks such as Sklearn, PyTorch, Tensorflow.
• Familiarity with data processing frameworks such as Spark.
• Familiarity with modern CI/CD and MLOps best practices.
• Strong problem-solving and analytical skills.
• Proven track record of working independently and as part of a distributed global team.

Responsibilities

• Data Pipeline Management: Maintain and optimise training data pipelines with cost-effectiveness and reliability.
• Model Lifecycle Management: Onboard new ML models onto the platform with standardised training automation and interfaces.
• MLOps: Maintain and enhance CI/CD pipelines for ML data & model pipelines; manage sign-off and deployment processes.

Skills

Problem-solving

Analytical skills

Distributed teamwork

Independence

Education

Bachelor's degree in CS/Engineering

Tools

Sklearn

PyTorch

TensorFlow

Spark

CI/CD

MLOps

Job description

Responsibilities

• Data Pipeline Management: Maintain and optimise training data pipelines leveraging the latest big data tools with an emphasis on cost-effectiveness and reliability.


• Model Lifecycle Management: Onboard new ML models onto the existing platform with standardised training automation and interfaces.


• MLOps: Maintain and enhance CI/CD pipelines for ML data & model pipelines. Operate sign-off and deployment processes, ensuring high-quality model sign-off.


• Quality Dashboards: Design and develop quality dashboards to monitor the quality and reliability of both models as well as data artefacts produced.

Requirements

• Bachelor\'s degree in Computer Science, Engineering, or a related field.


• Minimum 5+ years of experience in software engineering with a focus on full-stack development and infrastructure.


• Prior hands-on experience in ML model productionalization and operationalisation.


• Familiarity with ML frameworks such as Sklearn, PyTorch, Tensorflow.


• Familiarity with data processing frameworks such as Spark.


• Familiarity with modern CI/CD and MLOps best practices.


• Strong problem-solving and analytical skills.


• Proven track record of working independently and as part of a distributed global team.

This job was posted by Mahendar Reddy from Revrr Technologies.