Experience
3 - 6 yrs
Job Location
Pune, India
Vacancy
1
Designation
Data Scientist
Job Type
ONSITE
Job Description
3.00 - 6.00 Years
5.00 - 10.00 INR (Lacs)/Yearly
Full-time
Full-time
Roles & Responsibility
- Experience with cloud computing platforms such as AWS, Azure, and GCP
- Experience with big data processing technologies such as Hadoop and Spark
- Experience with Agile development methodologies
- Prepare, deploy, monitor, and support all AI/ML models in production.
- Design and evolve the teams MLOps platforms and processes.
- Experienced with different aspects of ML Lifecycle Activities:
- Data collection and preparation
- Feature engineering
- Model development , evaluation and deployment
- Model monitoring and maintenance
- Experienced with popular Tools for Model Monitoring, Deployment, Governance, Retraining, and Experimentation:
- Model monitoring: Prometheus, Grafana, Datadog, New Relic
- Model deployment: TensorFlow Serving, TorchServe, Amazon SageMaker, Google Cloud AI Platform
- Model governance: ModelDB, MLflow, Neptune.ai
- Model retraining: MLflow, AWS SageMaker, Google Cloud AI Platform
- Model experimentation: Jupyter Notebook, Google Colab, Kaggle
Requirements
- Experience with cloud computing platforms such as AWS, Azure, and GCP
- Experience with big data processing technologies such as Hadoop and Spark
- Experience with Agile development methodologies
- Prepare, deploy, monitor, and support all AI/ML models in production.
- Design and evolve the teams MLOps platforms and processes.
- Experienced with different aspects of ML Lifecycle Activities:
- Data collection and preparation
- Feature engineering
- Model development , evaluation and deployment
- Model monitoring and maintenance
- Experienced with popular Tools for Model Monitoring, Deployment, Governance, Retraining, and Experimentation:
- Model monitoring: Prometheus, Grafana, Datadog, New Relic
- Model deployment: TensorFlow Serving, TorchServe, Amazon SageMaker, Google Cloud AI Platform
- Model governance: ModelDB, MLflow, Neptune.ai
- Model retraining: MLflow, AWS SageMaker, Google Cloud AI Platform
- Model experimentation: Jupyter Notebook, Google Colab, Kaggle