Machine Learning Engineer

Capgemini

5 years

0 Lacs

pune maharashtra india

Posted:14 hours ago| Platform:

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Skills Required

learning design ml model training evaluation data software tensorflow monitoring logging scalability programming python testing containerization docker orchestration kubernetes versioning aws devops gitlab artifactory stack support development certifications

Work Mode

On-site

Job Type

Full Time

Job Description

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 you’ll 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

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