- Build predictive models and machine-learning algorithms.
- Use machine learning tools and statistical techniques to produce solutions to business problems.
- Analyze large amounts of information to discover trends and patterns.
- Acquire, process, clean, and put in usable format both structured and unstructured data.
- Perform exploratory data analysis and present information using data visualization techniques.
- Experiment with different models to solve problems and hand and select the best model based on model evaluation and business metrics.
- Operationalize machine learning models for both batch scoring and online scoring.
- Monitor deployed machine learning models for data drift and initiate models retraining when required.
- Develop ML pipelines to automate the workflow of ML models’ lifecycle.
- Conduct research and develop AI/ML prototypes and proof of concepts.
- Evaluate new and emerging AI/ML technologies.
- Keeps track of industry best practices and trends and through acquired knowledge, takes advantage of process and system improvement opportunities.
- Develop and maintain technical documentation and operational procedures for areas of responsibility.
- Bachelor Degree in Computer Science or Engineering.
- Certifications on data science, machine learning, and AI is a plus.
- Advanced working knowledge and experience in machine learning and deep learning using ML platforms like Scikit-learn, TensorFlow, PyTorch, and Keras.
- Advanced working knowledge and experience using Python, SQL, and R for machine learning.
- Experience in data acquisition, transformation, and visualization using Python libraries, R, and SQL.
- Experience in Big Data ML projects using tools like Apache Spark, Databricks, Hadoop etc.
- Experience of ML implementation using cloud computing in Azure, AWS, Google, IBM etc.
- A successful history of building text analytics and NLP applications using Arabic documents.
- A successful history of manipulating, processing and extracting insights from large disconnected datasets.
- Strong analytic skills related to working with unstructured datasets.
- Proficiency with data mining, mathematics, and statistical analysis.
- Must have a good understanding of CI/CD practices and Azure DevOps.
- قيادة الفريق
- التخطيط والتنظيم
- Communication Skills
- Data Analysis
سجلي الدخول للتقدم
الموقع عمان - الأردن
نوع الوظيفة دوام كامل
الدرجة العلمية بكالوريوس
- الخبرات 3 - 7