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Mathematical Science Occupations
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<p>Experience :3+ years<br/><br/>Immediate Joiner<br/><br/>Are you passionate about building scalable data solutions and deploying cutting-edge ML models in real-world manufacturing environments?
Join our growing global team and help us revolutionize industrial intelligence through real-time recommendation systems<br/><br/>Key Responsibilities:<br/><br/>- Work with business team to understand the data sources and do a detailed EDA of data available to establish quality and completeness of data.<br/><br/>- Design, implement, and maintain robust data preparation pipelines based on available data (should understand manufacturing datasets) to support ML Models.<br/><br/>- Collaborate closely with engineering and domain experts to ensure suggested solutions are scalable.<br/><br/>- Conduct feasibility analysis if a recommendation system or other ML algorithms can be developed on the available data basis business requirement.<br/><br/>- Work effectively in a global, cross-functional team using agile methodologies<br/><br/>Must-Have Qualifications:<br/><br/>- 3+ years of experience in Data Science with strong Machine Learning expertise.<br/><br/>- Hands-on experience of building scalable and deploying ML solutions.<br/><br/>- Knowledge of how to build recommendation systems and personalization algorithms using traditional ML models.<br/><br/>- Experience working with manufacturing data and an understanding of industrial processes/Data Sets.<br/><br/>- Proficient in Python, SQL, and ML libraries like scikit-learn, pandas, etc and OOPs concepts.<br/><br/>- Experience with cloud platforms (Azure preferred)</p> (ref:iimjobs.com)
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