استخدام Machine Learning Engineer
شرح موقعیت شغلی
Introduction:
Fakour is a global operational support service (OSS) firm and a market leader in the Telecom industry. Operating in more than 5 countries, the people of Fakour are dedicated to provide our clients the finest thinking, products and services to help them achieve even the most challenging goals. As a market leader, the talent and passion of our people is critical to our success. We embrace integrity, excellence, teamwork and giving back. Machine learning team at Fakour creates novel machine learning approaches to OSS and network management applications. They utilize their creativity and innovation to help the firm operate profitably in markets around the globe. All types of learning and AI, including deep learning and statistical learning, are potentially relevant.
Main Responsibilities:
You will design and develop ML solutions to complex problems ranging from deploying automation models in a cluster, to ML algorithms which analyze various data sources. You will be working with a team of dynamic engineers, data scientists, and ML researchers who take part in solving complex problems.
What you will do:
- Research, prototype and iterate ML solutions, that can add significant value to our OSS product features
- Assist with building and deploying ML models in production environment
- Collaborate with Product, Engineering, and Design teams to build ML solutions
- Monitor, refine, optimize and improve the quality of ML solutions
- Designing and developing machine learning and statistics functions written in Python
- Collaborating with the team to refine strategy and define requirements for projects
- Writing software that is used by others
- Object-oriented design and implementation
Minimum Qualifications
- A bachelor's degree and at least 3 years of professional work experience (or a master's degree in Computer Science, Machine Learning, or related fields) is required.
- You are proficient at scientific python, Unix, and a common DL framework (PyTorch, TensorFlow, Keras). Knowledge of CUDA is a plus.
- Python (Scikit-learn, Sklearn, Pandas, Matplotlib, NLTK)
- Excellent understanding of machine learning techniques and algorithms, such as Neural Networks, probabilistic modeling, k-NN, Naive Bayes, SVM, Decision Trees, Regression, Clustering models, Time series model, Linear models
- Familiarity with Cloud-based environments and Git
- Writing and speaking English
مهارتهای مورد نیاز
- یادگیری ماشین
- Machine learning
- Python
حداقل سابقه کار
- مهم نیست
جنسیت
- مهم نیست
وضعیت نظام وظیفه
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