MLops Professional
- Capgemini
- 4 - 9 years
- Hyderabad
- 8 months ago
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Job Description
- 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
- Ensure compliance with data privacy and security regulations
- Strong programming skills in Python, with experience in ML frameworks
- Expertise in containerization technologies (Docker) and orchestration platforms (Kubernetes)
- Proficiency in cloud platform (AWS) and their ML-specific services
- Experience with MLOps tools
- Experience with ML model serving frameworks (TensorFlow Serving, TorchServe)
- Machine Learning
- CI/CD Pipelines
- Devops
- Good Communication
Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.
Job Classification
Industry: IT Services & ConsultingFunctional Area / Department: Engineering - Software & QARole Category: Software DevelopmentRole: Search EngineerEmployement Type: Full timeContact Details:
Company: CapgeminiLocation(s): Hyderabad
Keyskills: MLops CI/CD pipelines ML pipelines MLOps tools AWS Machine Learning Devops TorchServe TensorFlow Serving
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