28,544 Capgemini jobs in India

Company: Capgemini

Job Location: PAN India

Experience: 5 to 20 Years

Contact Email:

Open Position: Data Scientist

Job Description:

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
•  Experience with Natural Language Processing (NLP).
•  Understanding of RAG, neural networks, and other AI/ML concepts.
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
• Strong understanding of CI/CD
• Building data pipelines and architecture
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Setup Github, repos, branching strategy and release tag
• GitHub Actions/Terraform/YAML for CI/CD Pipeline automation
• Create docker image for model as package
• Shell scripts and configure CI/CD Pipelines
• Model deployment pipelines using Sagemaker / AzureML / VertexAI / Databricks / Dataiku / DataRobot
• Create Rest API for Model Serving/ Model Inferencing
• Versioning and Registry of Model/Code/Data
• Cloud AI/ML Services to build and run model on cloud (Azure/AWS/GCP)
• Design MLOps architecture and process flow
• Setup Kubeflow/MLFlow
• Model and Data Drift Monitoring
• Understanding of Continuous Training and Monitoring of Models
• Create Kubernetes Cluster/Instance
• Model Deployment Strategies - Blue/Green, Canary

Primary Skills

1. Strong in Python Programming skills
2. Gen AI and Machine Learning algorithms.
3. Experience with Natural Language Processing (NLP).
4. Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.

Secondary Skills

1. Understanding of RAG, neural networks, and other AI/ML concepts.
2.  Ability to implement AI models.
3. Familiarity with AI platforms and understanding  of their capabilities and limitations

Company: Capgemini

Job Location: PAN India

Experience: 5 to 20 Years

Contact Email:

Open Position: Data Scientist

Job Description:

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
•  Experience with Natural Language Processing (NLP).
•  Understanding of RAG, neural networks, and other AI/ML concepts.
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
• Strong understanding of CI/CD
• Building data pipelines and architecture
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Setup Github, repos, branching strategy and release tag
• GitHub Actions/Terraform/YAML for CI/CD Pipeline automation
• Create docker image for model as package
• Shell scripts and configure CI/CD Pipelines
• Model deployment pipelines using Sagemaker / AzureML / VertexAI / Databricks / Dataiku / DataRobot
• Create Rest API for Model Serving/ Model Inferencing
• Versioning and Registry of Model/Code/Data
• Cloud AI/ML Services to build and run model on cloud (Azure/AWS/GCP)
• Design MLOps architecture and process flow
• Setup Kubeflow/MLFlow
• Model and Data Drift Monitoring
• Understanding of Continuous Training and Monitoring of Models
• Create Kubernetes Cluster/Instance
• Model Deployment Strategies - Blue/Green, Canary

Primary Skills

• Strong in Python Programming skills
• Gen AI and Machine Learning algorithms.
• Experience with Natural Language Processing (NLP).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.

Secondary Skills

• Understanding of RAG, neural networks, and other AI/ML concepts.
•  Ability to implement AI models.
• Familiarity with AI platforms and understanding of their capabilities and limitations

Company: Capgemini

Job Location: PAN India

Experience: 5 to 20 Years

Contact Email:

Open Position: Data Scientist

Job Description:

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
•  Experience with Natural Language Processing (NLP).
•  Understanding of RAG, neural networks, and other AI/ML concepts.
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
• Strong understanding of CI/CD
• Building data pipelines and architecture
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Setup Github, repos, branching strategy and release tag
• GitHub Actions/Terraform/YAML for CI/CD Pipeline automation
• Create docker image for model as package
• Shell scripts and configure CI/CD Pipelines
• Model deployment pipelines using Sagemaker / AzureML / VertexAI / Databricks / Dataiku / DataRobot
• Create Rest API for Model Serving/ Model Inferencing
• Versioning and Registry of Model/Code/Data
• Cloud AI/ML Services to build and run model on cloud (Azure/AWS/GCP)
• Design MLOps architecture and process flow
• Setup Kubeflow/MLFlow
• Model and Data Drift Monitoring
• Understanding of Continuous Training and Monitoring of Models
• Create Kubernetes Cluster/Instance
• Model Deployment Strategies - Blue/Green, Canary

Primary Skills

• Strong in Python Programming skills
• Gen AI and Machine Learning algorithms.
• Experience with Natural Language Processing (NLP).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.

Secondary Skills

• Understanding of RAG, neural networks, and other AI/ML concepts.
•  Ability to implement AI models.
• Familiarity with AI platforms and understanding of their capabilities and limitations

Company: Capgemini

Job Location: PAN India

Experience: 5 to 20 Years

Contact Email:

Open Position: Data Scientist

Job Description:

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
•  Experience with Natural Language Processing (NLP).
•  Understanding of RAG, neural networks, and other AI/ML concepts.
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
• Strong understanding of CI/CD
• Building data pipelines and architecture
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Setup Github, repos, branching strategy and release tag
• GitHub Actions/Terraform/YAML for CI/CD Pipeline automation
• Create docker image for model as package
• Shell scripts and configure CI/CD Pipelines
• Model deployment pipelines using Sagemaker / AzureML / VertexAI / Databricks / Dataiku / DataRobot
• Create Rest API for Model Serving/ Model Inferencing
• Versioning and Registry of Model/Code/Data
• Cloud AI/ML Services to build and run model on cloud (Azure/AWS/GCP)
• Design MLOps architecture and process flow
• Setup Kubeflow/MLFlow
• Model and Data Drift Monitoring
• Understanding of Continuous Training and Monitoring of Models
• Create Kubernetes Cluster/Instance
• Model Deployment Strategies - Blue/Green, Canary

Primary Skills

• Strong in Python Programming skills
• Gen AI and Machine Learning algorithms.
• Experience with Natural Language Processing (NLP).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.

Secondary Skills

• Understanding of RAG, neural networks, and other AI/ML concepts.
•  Ability to implement AI models.
• Familiarity with AI platforms and understanding of their capabilities and limitations

Company: Capgemini

Job Location: PAN India

Experience: 5 to 20 Years

Contact Email:

Open Position: Data Scientist

Job Description:

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
•  Experience with Natural Language Processing (NLP).
•  Understanding of RAG, neural networks, and other AI/ML concepts.
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
• Strong understanding of CI/CD
• Building data pipelines and architecture
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Setup Github, repos, branching strategy and release tag
• GitHub Actions/Terraform/YAML for CI/CD Pipeline automation
• Create docker image for model as package
• Shell scripts and configure CI/CD Pipelines
• Model deployment pipelines using Sagemaker / AzureML / VertexAI / Databricks / Dataiku / DataRobot
• Create Rest API for Model Serving/ Model Inferencing
• Versioning and Registry of Model/Code/Data
• Cloud AI/ML Services to build and run model on cloud (Azure/AWS/GCP)
• Design MLOps architecture and process flow
• Setup Kubeflow/MLFlow
• Model and Data Drift Monitoring
• Understanding of Continuous Training and Monitoring of Models
• Create Kubernetes Cluster/Instance
• Model Deployment Strategies - Blue/Green, Canary

Primary Skills

• Strong in Python Programming skills
• Gen AI and Machine Learning algorithms.
• Experience with Natural Language Processing (NLP).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.

Secondary Skills

• Understanding of RAG, neural networks, and other AI/ML concepts.
•  Ability to implement AI models.
• Familiarity with AI platforms and understanding of their capabilities and limitations

Company: Capgemini

Job Location: PAN India

Experience: 5 to 20 Years

Contact Email:

Open Position: Data Scientist

Job Description:

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
•  Experience with Natural Language Processing (NLP).
•  Understanding of RAG, neural networks, and other AI/ML concepts.
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
• Strong understanding of CI/CD
• Building data pipelines and architecture
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Setup Github, repos, branching strategy and release tag
• GitHub Actions/Terraform/YAML for CI/CD Pipeline automation
• Create docker image for model as package
• Shell scripts and configure CI/CD Pipelines
• Model deployment pipelines using Sagemaker / AzureML / VertexAI / Databricks / Dataiku / DataRobot
• Create Rest API for Model Serving/ Model Inferencing
• Versioning and Registry of Model/Code/Data
• Cloud AI/ML Services to build and run model on cloud (Azure/AWS/GCP)
• Design MLOps architecture and process flow
• Setup Kubeflow/MLFlow
• Model and Data Drift Monitoring
• Understanding of Continuous Training and Monitoring of Models
• Create Kubernetes Cluster/Instance
• Model Deployment Strategies - Blue/Green, Canary

Primary Skills

• Strong in Python Programming skills
• Gen AI and Machine Learning algorithms.
• Experience with Natural Language Processing (NLP).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.

Secondary Skills

• Understanding of RAG, neural networks, and other AI/ML concepts.
•  Ability to implement AI models.
• Familiarity with AI platforms and understanding of their capabilities and limitations

Company: Capgemini

Job Location: PAN India

Experience: 5 to 20 Years

Contact Email:

Open Position: Data Scientist

Job Description:

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
•  Experience with Natural Language Processing (NLP).
•  Understanding of RAG, neural networks, and other AI/ML concepts.
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
• Strong understanding of CI/CD
• Building data pipelines and architecture
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Setup Github, repos, branching strategy and release tag
• GitHub Actions/Terraform/YAML for CI/CD Pipeline automation
• Create docker image for model as package
• Shell scripts and configure CI/CD Pipelines
• Model deployment pipelines using Sagemaker / AzureML / VertexAI / Databricks / Dataiku / DataRobot
• Create Rest API for Model Serving/ Model Inferencing
• Versioning and Registry of Model/Code/Data
• Cloud AI/ML Services to build and run model on cloud (Azure/AWS/GCP)
• Design MLOps architecture and process flow
• Setup Kubeflow/MLFlow
• Model and Data Drift Monitoring
• Understanding of Continuous Training and Monitoring of Models
• Create Kubernetes Cluster/Instance
• Model Deployment Strategies - Blue/Green, Canary

Primary Skills

• Strong in Python Programming skills
• Gen AI and Machine Learning algorithms.
• Experience with Natural Language Processing (NLP).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.

Secondary Skills

• Understanding of RAG, neural networks, and other AI/ML concepts.
•  Ability to implement AI models.
• Familiarity with AI platforms and understanding of their capabilities and limitations

Company: Capgemini

Job Location: PAN India

Experience: 5 to 20 Years

Contact Email:

Open Position: Data Scientist

Job Description:

• Good programming skills in Python
• Must possess experience or interest in training and deploying machine learning models end to end
• Good understanding of basic statistics and deep learning techniques
• Prior experience in data integration, profiling, validation and cleansing
•  Experience with Natural Language Processing (NLP).
•  Understanding of RAG, neural networks, and other AI/ML concepts.
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.
• Strong understanding of CI/CD
• Building data pipelines and architecture
• Strong experience deploying applications to cloud platforms like Azure, AWS
• Interest in building efficient batch and streaming data engineering pipelines
• Setup Github, repos, branching strategy and release tag
• GitHub Actions/Terraform/YAML for CI/CD Pipeline automation
• Create docker image for model as package
• Shell scripts and configure CI/CD Pipelines
• Model deployment pipelines using Sagemaker / AzureML / VertexAI / Databricks / Dataiku / DataRobot
• Create Rest API for Model Serving/ Model Inferencing
• Versioning and Registry of Model/Code/Data
• Cloud AI/ML Services to build and run model on cloud (Azure/AWS/GCP)
• Design MLOps architecture and process flow
• Setup Kubeflow/MLFlow
• Model and Data Drift Monitoring
• Understanding of Continuous Training and Monitoring of Models
• Create Kubernetes Cluster/Instance
• Model Deployment Strategies - Blue/Green, Canary

Primary Skills

• Strong in Python Programming skills
• Gen AI and Machine Learning algorithms.
• Experience with Natural Language Processing (NLP).
• Experience with AI/ML frameworks like TensorFlow, PyTorch, etc.

Secondary Skills

• Understanding of RAG, neural networks, and other AI/ML concepts.
•  Ability to implement AI models.
• Familiarity with AI platforms and understanding of their capabilities and limitations