Ingersoll Rand Hiring Drive 2024: Ingersoll Rand Hiring Drive 2024 for its Data Scientist. Ingersoll Rand Drive organizes off-campus drives for candidates in any batch. To apply, candidates should have an MTech degree in Data Science or Artificial intelligence. if you are interested, please apply as soon as possible.
Company Name: Ingersoll Rand
Role: Data Scientist
Location: Bangalore
Experience: 1 years
Qualification: MTech Data science or Artificial intelligence
Batch: Any
Job Type: Full Time
Salary: 14.6 LPA (Expected)
Ingersoll Rand Hiring Drive 2024
Job Description:
- The Engineer is in charge of developing and managing a large IOT data in google cloud platform.
- He/She will do data research along with domain knowledge about equipment controls, mechanical and electrical functionality.
Requirements:
- 1 years of Experience working with any cloud platform.
- Should have experience working with any visualization tool.
- 3+ years of Work experience working with python and must have build predictive model preferably in predictive maintenance in manufacturing domain.
- MTech Data science or Artificial intelligence
- Python(Numpy, Pandas, Matplotlib), Machine learning(sklearn), SQL, Statistics, Vertex AI-GCP
Responsibility:
- Collecting dataset with writing SQL query from different sources.
- Connecting with different data sources.
- Use of python or R for data Merging, cleaning, and exploratory analysis.
- Developing supervise and unsupervised machine learning model for equipment using time series data.
- Understanding needs from service, engineering and product management team.
- Must have experience to deploy ML models on google cloud platform(Vertex AI).
- Creating dashboard to convey meaningful insight from data. should have experience working with any Visualization Tool.
- Collaborate with cross-functional teams to improve the performance and efficiency of systems.
- Ensure the security and privacy of data, complying with relevant regulations and best practices.
- Maintain detailed documentation of data analysis processes, model development, and findings.
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