Data Science Engineer

The Data Science Engineer will design, develop, and deploy machine learning models using Python and Azure ML Services to solve complex business problems. The engineer will collaborate with cross-functional teams to gather requirements, design solutions, and implement data pipelines on Microsoft Azure platform. The role involves developing scalable data processing architectures using Spark, Hadoop, or other big data technologies to support real-time analytics needs, troubleshooting issues related to model performance, data quality, and system reliability. The role offers the opportunity to work within a collaborative, cross-functional team environment, contributing to end-to-end project delivery and continuous process improvement initiatives. The team also values individuals who can adapt quickly to new tools and evolving business requirements.

2-5 years of experience in Data Science Engineering with expertise in Machine Learning algorithms. Strong proficiency in Python and familiarity with Microsoft Azure. Experience working with large datasets using Pandas, NumPy, Matplotlib, and knowledge of statistical techniques for feature engineering. Graduation Not Required. Prior experience working in global delivery models, along with exposure to Agile methodologies, will be considered an added advantage. The ideal candidate will bring a proactive, solutions-oriented approach, strong organizational skills, and a commitment to delivering high-quality outcomes within agreed timelines.