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Job Location: Bangalore/Bengaluru
Key Job Responsibilities
- Identify high ROI use cases for Data Analytics and Machine Learning through collaborating with Advanced Integrated Manufacturing, plant management and IT
- Develop and Deploy Machine Learning algorithms including Anomaly detection, Predictive Quality and Predictive Maintenance for various manufacturing processes to achieve business goals (quality, on time delivery, throughput, uptime, etc.)
- Develop analytics to drive insights from large volume of machine data from worldwide plants to improve manufacturing performance
- Design and conduct controlled experiments to validate and improve accuracy of algorithms
- Provide feedback to existing data collection/database management procedures to improve data quality
- Promote and educate people without data science background on its principles and applications
- Keep up-to-date with latest Machine Learning use cases and technologies in manufacturing
Preferred Areas of Education, Certifications, and Skills:
- B.S. (graduate degree preferred) from an accredited college/university in Computer Science, Statistics, Mathematics, Engineering, or related fields
- 5-8 years of experience in industrial equipment Machine Learning and Data Analytics required
- Experience with end-to-end development and deployment of ML algorithms for industrial applications
- Familiarity with IoT platforms like Azure; certified Azure Data Scientist
- Strong knowledge of ETL, feature engineering and various ML algorithms (clustering, decision tree learning, Artificial Neural Networks, etc.)
- Extensive experience with programming languages such as Python, R, and SQL
- Experience working with high frequency and large volume of data
- Experience with ERP systems like SAP
- Basic understanding of manufacturing processes is a plus
- Experience working with colleagues/customers located in different countries
- Team player and a good communicator
- Equal Opportunity Employer
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