الوصف الوظيفي
Job Purpose
As a Machine Learning Engineer you should have exposure to work in a fast-paced Agile IT environment.
Your main responsibility is to build complex data processing pipelines, design and implement machine learning algorithms. You will help envision our machine learning strategy at scale and help build the future of Education Science. As a member of our data science and machine learning team, you will be interacting with multi-functional teams for data preparation and apply machine learning/data mining algorithms in efficient workflows to process large-scale data. This Machine learning role will be responsible for delivering projects from end-to-end: problem statement and conceptualization, proof-of-concept, and participation in final deployment. You will also perform ad-hoc statistical and data science analyses.
Job Specific Responsibilities
Design and prototype algorithms that run on cloud based big data environments.
Develop feature specifications and performance metrics to capture requirements
Assemble representative data sets and use them to train and test new algorithms.
Document designs and report results to product management on a regular basis
Identify opportunities for new algorithms and hardware improvements for future products.
Develop and maintain data infrastructure systems that power statistical and machine learning models on large-scale datasets.
Own data quality throughout all data lifecycles, including acquisition, cleaning, processing, and validation.
Build platforms to facilitate the rapid iteration of machine learning and optimization algorithms.
Work closely with Data science and Data engineering teams.
Identify new ideas to build and evolve Machine Learning solutions, develop new features and benchmark possible solutions.
Understand algorithms (be able to tweak them when needed) as well as infrastructure that enables fast iterations
Experienced user of libraries such as scikit-learn, scipy, R, NetworkX, Spacy, and NLTK.
Working experince of deep learning algorithms and workflows, and experience with any of the frameworks like Torch, Caffe, MXNet, TensorFlow.
Knowledge in Spark, Hive, Cassandra, Kafka and NoSQL databases is plus
Ability to meaningfully present results of analyses in a clear and impactful manner
Educational and Experience
Degree in Statistics, Computer Science or related preferred
Minimum 3-5 years
Essential Skills
Hands on experience with Python, R, Scala, Java
Exposure to machine learning frameworks: Tensorflow, Keras, Pytorch, MXNet
First-hand experience with a variety of machine learning and pattern recognition techniques
Develop in Jupyter (IPython) notebook, Spyder and various IDE
Engineer new features to improve algorithm predictions
Experience in productionizing data-driven algorithms
5 + years of strong data analysis skills, including principal component analysis, working with Recurrent neural networks
Intuitive ability to see a complex problem from many perspectives
Organized, detail-oriented and pragmatic
Thrives in both independent work and in collaboration on a multi-disciplinary team
Experience in working on datasets related to industry verticals, preferably Education Science
AWS or similar cloud platform exposure
Experience working with educational data sets.
Excellent communication skills
المهارات
Essential Skills
Hands on experience with Python, R, Scala, Java
Exposure to machine learning frameworks: Tensorflow, Keras, Pytorch, MXNet
First-hand experience with a variety of machine learning and pattern recognition techniques
Develop in Jupyter (IPython) notebook, Spyder and various IDE
Engineer new features to improve algorithm predictions
Experience in productionizing data-driven algorithms
5 + years of strong data analysis skills, including principal component analysis, working with Recurrent neural networks
Intuitive ability to see a complex problem from many perspectives
Organized, detail-oriented and pragmatic
Thrives in both independent work and in collaboration on a multi-disciplinary team
Experience in working on datasets related to industry verticals, preferably Education Science
AWS or similar cloud platform exposure
Experience working with educational data sets.
Excellent communication skills
تفاصيل الوظيفة
منطقة الوظيفة أبوظبي, الإمارات العربية المتحدة
قطاع الشركة تطوير البرمجيات
طبيعة عمل الشركة صاحب عمل (القطاع الخاص)
الدور الوظيفي تكنولوجيا المعلومات
نوع التوظيف دوام كامل
الراتب الشهري $8,000 - $9,000
عدد الوظائف الشاغرة 2
المرشح المفضل
المستوى المهني إدارة عليا تنفيذية
الجنسية أسبانيا; ألبانيا; ألمانيا; أيرلندا; أيسلندا; إثيوبيا; إريتريا; إيطاليا; البرتغال; البوسنةوالهرسك; الجبل الأسود; الجزائر; الدنمارك; الرأس الأخضر; السنغال; السودان; السويد; الصحراء الغربية; الصومال; الغابون; الكاميرون; الكونغو برازافيل; الكونغو كينشاسا; المجر; المغرب; المملكة المتحدة; النرويج; النمسا; اليونان; انغولا; اوغندا; اوكرانيا; ايستونيا; بريطانيا العظمى; بلجيكا; بلغاريا; بوتسوانا; بوركينا فاسو; بوروندى; بولا ندا; بيلاروسيا; بينين; تشاد; تنزانيا; توغو; تونس; جزر القمر; جمهورية سلوفاكيا; جمهوريةأفريقياالوسطى; جمهوريةالتشيك; جنوب أفريقيا; جنوب السودان; جيبوتى; رواندا; روسيا; رومانيا; زامبيا; زيمبابوي; ساحل العاج; سلوفينيا; سوازيلاند; سويسرا; سيراليون; سيشيل; صربيا; غامبيا; غانا; غينيا; غينيا الاستواءيه; فرنسا; فنلندا; كرواتيا; كوسوفو; كينيا; لاتفيا; لوكسمبورج; ليبريا; ليبيا; ليتوانيا; ليسوتو; مالى; مدغشقر; مصر; مقدونيا; ملاوي; موريتانيا; موريشيوس; موزمبيق; مولدوفا; ناميبيا; نيجيريا; هولندا
الشهادة بكالوريوس/ دبلوم عالي
*** تقدم على الرابط التالي : Apply on the following link ***
https://www.bayt.com/ar/uae/jobs/machine-learning-engineer-4026569/
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