MLops engineer

1 hour ago


Bengaluru, Karnataka, India Capgemini Engineering Full time ₹ 13,62,000 - ₹ 35,53,792 per year

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

____________________________________________________________________

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, ₹3,553,792.97 per year

Work Location: In person


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