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Applied Data Scientist وقت كامل وظيفة

منذ 11 شهر تكنولوجيا المعلومات والاتصالات Beirut   431 الآراء
تفاصيل الوظيفة

We are looking for a passionate andexperienced Data Scientist to work on challenging problems and apply machinelearning to a diverse array of enterprise uses cases.

 

Responsibilities:

·        Keepingabreast of research trends in the field of Deep Learning and AI.

·        Think througha problem from inception to shipment.

·        Exploringapplications of Deep Learning across multiple domains and identifying modelsthat can bring value to our customers in those domains.

·        Trainingmodels that can then be deployed at scale.

·        Write scriptsfor data analysis, ETL, and visualization.

·        Understandand improve data annotation processes.

·        Communicateand articulate complex issues & technologies.

·        Workindependently and collaboratively with other research and product teams.

Required Qualifications:

·        Graduatedegree in Computer Science or related field with focus on ArtificialIntelligence.

·        5+ years ofindustry experience in the areas of machine learning, computer vision, naturallanguage processing or data mining.

·        Proven trackrecord of production quality ML model deployment/development

·        Experiencewith Deep Learning frameworks like PyTorch, Tensorflow, Keras and CNTK.

·        Strong codingskills in Python and/or R.

·        Experiencewith libraries for data exploration, modeling and visualization.

·        Experiencedesigning experiments and answering questions with data.

PreferredQualifications:

·        Experiencewith Azure Machine Learning.

·        Strong codingand development skills.

·        Experiencewith big data.

·        Publicationsin AI/ML is a plus.

وصف الشركة
We accelerate AI, cloud based startups to transform industries vertical-by-vertical, and we provide them with Industry Labs to build and grow. For that end, we have developed a new co-acceleration approach by partnering with Microsoft to give startups access to vital resources and industry knowledge that otherwise would be out of reach.