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Gender
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Vacancy
1 Vacancy
Job Description
Roles & Responsibilities
Lead the development and optimization of machine learning models, including recommendation and personalization systems.
Develop end-to-end analytics solutions, from data preprocessing to machine learning model deployment.
Build and optimize big data pipelines, ensuring scalability and efficiency in production environments.
Conduct data mining and implement advanced classifiers to enhance customer experiences and business performance.
Process and analyze large datasets using big data tools like Spark and Hive.
Process, cleanse, and validate data for analysis, ensuring accuracy and integrity.
Extend existing data with third-party sources as needed for enriched analysis.
Perform ad-hoc analyses and present actionable insights clearly to stakeholders.
Collaborate with cross-functional teams to deliver tailored solutions aligned with business objectives.
Desired Candidate Profile
Position Requirements:
Strong expertise in analytics solutions, including data collection, preprocessing, model development, and deployment.
Proficient in machine learning techniques and algorithms (e.g., Naive Bayes, SVM, Decision Forests, Bagging & Boosting Models).
Strong understanding of feature scaling, dimensionality reduction, and data compression techniques.
Expertise in Python, PySpark, R, and libraries such as Scikit-learn, NumPy, TensorFlow.
3 to 5 years of experience in deploying scalable machine learning systems, with 4+ years in NLP or text analytics development.
Proficient in SQL, Hadoop, Spark, and data storage frameworks.
Skilled in designing and deploying auto big data pipelines for production environments.
Experienced in developing ETL (Extract, Transform, Load) workflows for seamless data integration.
Expertise in building interactive dashboards and reports using Tableau and other visualization tools.
Experience with agile methodologies, data-driven development, and reliable experimentation.
Knowledge of machine learning publications or contributions to open-source projects is a plus.
Employment Type
- Full Time
Company Industry
- Telecom
- ISP
Department / Functional Area
- Telecom Engineering
- Communications Engineering
Keywords
- Data Scientist
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Protiviti Member firm Middle East Consultancy LLC
Nishant
Emirates Real Estate Corporation Building, 7th Floor, Office 707-711, Al Falah Street Al Danah, P.O. Box 32468, Abu Dhabi, United Arab Emirates (UAE)
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