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Get AI-powered advice on this job and more exclusive features. We are seeking an experienced ML/data scientist with over 3 years of expertise in the telecom industry. This role involves building, optimizing, and deploying machine learning models to support telecom operations. Qualifications: Bachelors degree in computer science, data science, telecommunications, or a related field. Experience with GIS tools (QGIS/Mapinfo/ARCGIS) Proficiency in machine learning frameworks (TensorFlow, PyTorch). Expertise in the Python programming language. Strong knowledge of the AWS cloud platform. Familiarity with big data tools (Spark, Hadoop) and SQL databases. Knowledge of telecom-specific KPIs and technologies such as 5G is a plus. Strong analytical and problem-solving abilities. Excellent communication and collaboration skills. Key Responsibilities: Develop and implement ML models to analyze telecom network data. Validate and optimize predictive models for accuracy and performance. Identify and resolve performance issues using data-driven insights. Collaborate with cross-functional teams to ensure alignment. Design dashboards and visualizations to support decision-making (Tableau). Perform exploratory data analysis to extract actionable insights. Stay updated with emerging ML technologies and applications in telecom. Automate data pipelines and feature engineering processes. Seniority level

Seniority level

Mid-Senior level Employment type

Employment type

Full-time Job function

Job function

Information Technology Industries

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