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Data Scientist

Logicplanet IT Services
Posted on

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