MLops engineer

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