Job Description

Please share below details and updated CV, interviews will be as per below slots.

Date

Time

October 3, 2025

10am-12pm

Interview duration : 45 minutes.

ONLY early Oct and Nov joiners will be preferred.

Current CTC: Expected CTC: Notice period: Current and preferred location: Total and relevant exp: Current payroll company: Relevant exp in MLops only:

Interview will be virtual, share updated CV with us. Early joiners will be preferred. Interview will be of 45 minutes, with proper network.

MLOps Engineer

Your Role

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

Your Profile

Strong programming skills in Python (5+ years), 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) and their ML-specific services with atleast 2-3 years of experience.

Strong understanding of DevOps practices and tools (GitLab, Artifactory, Gitflow etc.)

Experience with monitoring and observability tools (Prometheus, Grafana, ELK stack) and knowledge of distributed training techniques

What youll love about working here

We recognise the significance of flexible work arrangements to provide support in hybrid mode, you will get an environment to maintain healthy work life balance

Our focus will be your career growth & professional development to support you in exploring the world of opportunities.

Equip yourself with valuable certifications & training programmes in the latest technologies such as MLOps, Machine Learning

Regards

Asmita Gaur

Senior Consultant| Talent Acquisition

Capgemini Technology Services India | Noida

www.capgemini.com

____________________________________________________________________

Connect with Capgemini:

Please consider the environment and do not print this email unless absolutely necessary. Capgemini encourages environmental awareness.

Job Type: Full-time

Pay: ₹1,362,250.26 - ₹3,553,792.97 per year

Work Location: In person