Job Description :
Key Responsibilities :
- Develop and deploy scalable machine learning models to enhance search query performance and data retrieval accuracy for enterprise clients.
- Design and maintain high-performance data pipelines using distributed computing frameworks to ensure seamless processing of large-scale datasets.
- Collaborate with software engineering teams to integrate algorithmic solutions into existing production environments, ensuring code quality and system reliability.
Requiremnts :
- Data Mining : Extract and transform usable data from diverse sources to support analytics.
- Machine Learning : Build, optimize, and deploy classifiers using ML tools and frameworks.
- Data Preprocessing : Clean, structure, and prepare both structured and unstructured datasets for analysis.
- Data Collection : Enhance data pipelines to capture all relevant information for analytic systems.
- Data Validation : Process, cleanse, and validate datasets to ensure accuracy and integrity.
- Pattern Recognition : Analyze large-scale information to identify trends, correlations, and actionable solutions.
- Predictive Modeling : Develop advanced prediction systems and machine learning algorithms for business impact.
- Programming & Statistics : Apply statistical programming (Python, R, SQL, Hive, Pig) and mathematical foundations (linear algebra, calculus) to drive insights.