1. Role: ML Engineer

Must have:

- 4+ years of experience
- Solid Understanding in statistics.
- Knowledge and experience in statistical and data mining techniques: GLM/Regression, Random Forest, Boosting, Tree text mining, ensemble techniques etc.

Solid skills in software prototyping and engineering with expertise in Python is required.

Experience creating and using advanced machine learning algorithms and statistics: regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.

- Knowledge in understanding the Time-series, data pattern & Product data from the Manufacturing Process.

Qualification & Skills:

- Preferred Degree in Mechanical Engineering, Computer Science, ECE, Statistics, Applied Math or related field.
- 4+ years of practical experience with ML Projects, data processing, database programming and data analytics
- Extensive background in data mining and statistical analysis
- Able to understand various data structures and common methods in data transformation.
- Excellent pattern recognition, predictive modelling skills
- Experience with Business Intelligence Tools like Power BI is an asset.

📌 ML Engineer-LTS (India)
🏢 RandomTrees
📍 India