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Job Description
Roles & Responsibilities
About the role:
We are seeking a talented Machine Learning Engineer to join our data science team. The ideal candidate will be responsible for developing and implementing machine learning models and algorithms that solve complex business problems. You will work closely with data scientists, software engineers, and stakeholders to deliver scalable solutions.
Responsibilities:
Design, build, and deploy machine learning models and algorithms.
Collaborate with data scientists to refine data features and enhance model performance.
Optimize and improve existing machine learning models for efficiency and accuracy.
Conduct data preprocessing, feature engineering, and data analysis.
Monitor and maintain models in production to ensure they operate effectively.
Document and communicate model designs and performance metrics to stakeholders.
Stay updated on the latest industry trends and advancements in machine learning and AI.
Participate in code reviews and contribute to a culture of continuous improvement.
Profile requirements:
Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
Proven experience as a Machine Learning Engineer or in a similar role.
Proficiency in programming languages such as Python, Java, or R.
Experience with machine learning frameworks and libraries (e.g.,AWS BedRock, Amazon SageMaker, TensorFlow, PyTorch, Scikit-learn).
Strong understanding of algorithms, data structures, and software engineering principles.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and tools for deploying machine learning models.
Knowledge of data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).
Excellent problem-solving skills and ability to work collaboratively in a team environment.
Experience with deep learning and natural language processing (NLP) techniques.
Understanding of model interpretability and explainability.
Perform statistical analysis, and train and retrain systems to optimize performance.
Preferred Skills:
Familiarity with version control systems (e.g., Git) and CI/CD practices.
Experience with AI/GenAI
Experience with AWS data services (e.g., AWS EMR, AWS Glue, AWS Athena)
Design/build and deploy API services
Desired Candidate Profile
Bachelor's degree in Computer Science, Data Science, Mathematics, or a related field.
Proven experience as a Machine Learning Engineer or in a similar role.
Proficiency in programming languages such as Python, Java, or R.
Experience with machine learning frameworks and libraries (e.g.,AWS BedRock, Amazon SageMaker, TensorFlow, PyTorch, Scikit-learn).
Strong understanding of algorithms, data structures, and software engineering principles.
Familiarity with cloud platforms (e.g., AWS, Azure, GCP) and tools for deploying machine learning models.
Knowledge of data manipulation and analysis tools (e.g., SQL, Pandas, NumPy).
Excellent problem-solving skills and ability to work collaboratively in a team environment.
Experience with deep learning and natural language processing (NLP) techniques.
Understanding of model interpretability and explainability.
Company Industry
- Travel
- Tourism
Department / Functional Area
- IT Software
Keywords
- Specialist - Machine Learning & Data Sci
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Almosafer
At Almosafer (part of Seera Group), we re not just part of the travel industry, we re helping shape its future. As Saudi Arabia s leading travel company, we serve millions across every segment of the travel and tourism ecosystem. Rooted in our name Almosafer, meaning the traveler, we strive to make every journey seamless, personal, and purposeful. Our diverse platforms and services are built to deliver enriching experiences that reflect the spirit of Saudi Arabia and the wider region. We re united by a bold vision:To be the undisputed leader in travel services, fostering lasting connections and setting new benchmarks for excellence in the Kingdom and beyond.
https://jobs.almosafer.com/job/Amman-Specialist-Machine-Learning-&-Data-Sci/1250841701/