Ikue
11 - 50 employees
đĄ Telecommunications
đ€ Artificial Intelligence
âïž SaaS
đ° Seed Round on 2022-11
Telecommunications âą Artificial Intelligence âą SaaS
Ikue is a company that specializes in providing a cutting-edge Customer Data Platform (CDP) built specifically for telecom companies. Their platform is designed to enhance customer experiences and drive growth by leveraging data science and telecom expertise. Ikue offers advanced features such as AI and machine learning for real-time customer state modeling, marketing tools, and robotic data automation. They aim to empower telecommunication leaders to leverage data more effectively and improve customer engagement through hyper-personalized communications. With partnerships such as Bridge Alliance, Ikue is expanding its reach across various global markets, catering to telcos and MVNOs to optimize customer data and support strategic decision-making.
Machine Learning Engineer
Job not on LinkedIn
đ April 1
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Ikue
11 - 50 employees
đĄ Telecommunications
đ€ Artificial Intelligence
âïž SaaS
đ° Seed Round on 2022-11
Telecommunications âą Artificial Intelligence âą SaaS
Ikue is a company that specializes in providing a cutting-edge Customer Data Platform (CDP) built specifically for telecom companies. Their platform is designed to enhance customer experiences and drive growth by leveraging data science and telecom expertise. Ikue offers advanced features such as AI and machine learning for real-time customer state modeling, marketing tools, and robotic data automation. They aim to empower telecommunication leaders to leverage data more effectively and improve customer engagement through hyper-personalized communications. With partnerships such as Bridge Alliance, Ikue is expanding its reach across various global markets, catering to telcos and MVNOs to optimize customer data and support strategic decision-making.
đ Description
âą Design and construct Ikue's AI Studio in collaboration with Product owners and Data Scientists âą Design and build machine learning pipelines (model build, evaluation, deploy, monitoring) âą Integrate machine learning outputs into real-time and batch data pipelines âą Ensure machine learning and data pipelines are monitored, reliable and supportable (including expert support when required)
đŻ Requirements
âą BSc Computer Science or Engineering âą 3+ years working experience as a Machine Learning Engineer âą Advanced skills developing in Python, Spark, SQL âą Experience deploying and maintaining common machine learning models (e.g., binary classification, regression, clustering) in the cloud (AWS ECS and Sagemaker preferable) âą AWS Associate Developer certification (Machine Learning Speciality preferable) âą Excellent problem solving and analytical skills
đïž Benefits
âą You will become part of an international environment that embraces diversity and professionalism âą A dynamic and motivated team, with a good sense of humour âą Freedom to take responsibility, grow within the team
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