Turkey Job Openings
P.I. Works Inc
Machine Learning Engineer With Data Science Experience
Istanbul
FULL TIME
September 16, 2024
P.I. Works is the first company in the world to automate the management of a commercial 5G network.
Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across more than 67 mobile operators in 47 countries around the world.
Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide leveraged by contemporary, pioneer use-cases based on wide variety of Artificial Intelligence methods such as Statistical Machine Learning, Deep Learning, Big Data Complex Event Processing and Pattern Recognition to be applied in the Telecommunication industry etc.
What You Will Do:
What You Need To Be Successful:
What Makes You A Great Fit (is a plus):
What We Can Provide:
Our automated network management products and services empower mobile operators to accelerate network transformation and to drive network quality and efficiency on the path to 5G. These solutions have been deployed across more than 67 mobile operators in 47 countries around the world.
Come and join us to work with the leading telecom operators around the world and redefine the mobile experience worldwide leveraged by contemporary, pioneer use-cases based on wide variety of Artificial Intelligence methods such as Statistical Machine Learning, Deep Learning, Big Data Complex Event Processing and Pattern Recognition to be applied in the Telecommunication industry etc.
What You Will Do:
- Developing machine learning models to achieve business objectives, along with metrics to track their progress
- Develop Proofs-of-Concept (POC) by using state-of-the-art ML technologies and Lead the POC process
- Work closely with subject-matter-experts from different domains to define problems metrics and ensure model outputs to meet the expectation
- Document and explain cutting-edge techniques to other team members
- Join brainstorming sessions to leverage provided solutions and learn from others
What You Need To Be Successful:
- Hands-on applied machine learning experience from 3 to 5 years with proven record of statistics, ML model development, data analysis and visualization know-how and experience
- Proficiency with Python and related ML-Data Analysis libraries used for problems in the scope of time series, forecasting and anomaly detection,etc.
- Project completion with deep learning frameworks (like Tensorflow, Keras) especially for RNN for time-series forecasting
- Excellent skills at distilling complex, ambiguous scenarios into tractable model
- Expertise in visualizing and manipulating big datasets
- Familiarity with SQL and experience working with various database types
- Able to support technical meetings worldwide with a fluent command of English
- Familiarity with version control systems, and source code versioning systems such as git/mercurial, issue and know-how tracking solutions like Jira and Confluence, productivity tools for data science such as Jupyter or Azure notebooks
What Makes You A Great Fit (is a plus):
- BSc in Computer Science, Mathematics or similar field; Master’s degree
- Experience on working with sequential big data like time series forecasting and anomaly detection, root cause analysis or geolocation analytics
- High-performance computing, data modeling and query optimization experience
- SW Development techniques, big data technologies and Linux
- Telecommunication domain know-how and working experience
- Executive-level reporting and presentations, data story-telling skills
- Eligible for working in Turkey
What We Can Provide:
- Career development opportunities in a multinational working environment
- Develop your 5G and AI knowledge in a market-leading company with subject matter experts
- International career opportunities (Americas, Europe, MEA, APAC regions)
- Private health insurance
- Flexible working hours and vacation policy
- Transportation allowance
-
Meal allowance, complimentary breakfast and soft drinks
- Pop-up events and gifts
- Sports activities
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