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