
Machine Intelligence Engineer
5 days ago
P.I. Works Inc is a pioneer in commercial 5G network automation.
Our innovative solutions have empowered mobile operators in 47 countries to accelerate network transformation and improve quality and efficiency.
Come and join us to work with leading telecom operators globally, redefine the mobile experience, and apply contemporary use cases based on various AI methods such as Deep Learning, Statistical Machine Learning, Big Data Complex Event Processing, and Pattern Recognition in the Telecommunication industry.
Job Requirements:- Develop and implement machine learning models to achieve business objectives and track their performance.
- Develop Proofs-of-Concept (POCs) by using state-of-the-art ML technologies and lead the POC process.
- Collaborate closely with subject-matter-experts from different domains to define problems, metrics, and ensure model outputs meet expectations.
- Document and explain cutting-edge techniques to other team members.
- Join brainstorming sessions to leverage provided solutions and learn from others.
- Minimum 2-3 years of experience in applied machine learning with a strong track record in statistics, ML model development, data analysis, and visualization.
- Proficiency in Python and related ML-Data Analysis libraries used for time series, forecasting, and anomaly detection.
- Experience working with deep learning frameworks like Tensorflow and Keras, especially for RNN in time-series forecasting.
- Excellent skills in distilling complex scenarios into tractable models.
- Expertise in handling and visualizing large datasets.
- Familiarity with SQL and experience working with various database types.
- Able to communicate effectively with international teams.
- Career development opportunities in a multinational environment.
- Develop your 5G and AI expertise in a leading company with subject matter experts.
- International career opportunities.
- Comprehensive private health insurance.
- Flexible working hours and generous vacation policy.
- Transportation allowance.
- Meal allowance, complimentary breakfast, and soft drinks.
- Fun pop-up events and gifts.
- Access to sports activities.
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