MLOps Engineer

Capgemini; Bengaluru; On-site; INR 1,500,000 - 2,200,000; Full time

Job summary

Capgemini in Bengaluru is seeking an experienced MLOps Engineer to design, implement, and maintain end-to-end ML pipelines for training, evaluation, and deployment. You will collaborate with data scientists and software engineers to operationalize models and serve frameworks, while building robust CI/CD for ML workflows.

The role emphasizes containerization with Docker and orchestration via Kubernetes, plus model/data versioning and cloud experience on AWS.

Qualifications

• Experience building end-to-end ML pipelines and deploying models.
• Experience with MLOps tools and serving frameworks.
• Strong Python programming and testing practices.

Responsibilities

• Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment.
• Collaborate with data scientists and software engineers to operationalize ML models.
• Develop and maintain CI/CD pipelines for ML workflows.
• Implement monitoring and logging solutions for ML models.
• Optimize ML infrastructure for performance, scalability, and cost-efficiency.

Skills

Python

ML frameworks

CI/CD

Cloud AWS

Tools

Docker

Kubernetes

TensorFlow Serving

TorchServe

Model versioning

Data versioning

Job description

Job Description

MLOps

• Design, implement, and maintain end-to-end ML pipelines for model training, evaluation, and deployment.
• Collaborate with data scientists and software engineers to operationalize ML models, serving frameworks (TensorFlow Serving, TorchServe) and experience with MLOps tools.
• Develop and maintain CI/CD pipelines for ML workflows
• Implement monitoring and logging solutions for ML models, experience with ML model serving frameworks (TensorFlow Serving, TorchServe)
• Optimize ML infrastructure for performance, scalability, and cost-efficiency
• Strong programming skills in Python with experience in ML frameworks; understanding of ML-specific testing and validation techniques
• Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes), Knowledge of data versioning and model versioning techniques
• Proficiency in cloud platform (AWS, Azure,)

Job Classification

Industry: IT Services & ConsultingFunctional Area / Department: Data Science & AnalyticsRole Category: Data Science & Machine LearningRole: Data Science & Machine Learning - OtherEmployement Type: Full time

Contact Details:

Company: CapgeminiLocation(s): Bengaluru Ability to work in a team environment with members of varying skill levels. Highly motivated. Learns quickly.